Retrieve the probes associated to a genes across all platforms

get_gene_probes(
  gene,
  offset = 0L,
  limit = 20L,
  raw = getOption("gemma.raw", FALSE),
  memoised = getOption("gemma.memoised", FALSE),
  file = getOption("gemma.file", NA_character_),
  overwrite = getOption("gemma.overwrite", FALSE)
)

Arguments

gene

An ensembl gene identifier which typically starts with ensg or an ncbi gene identifier or an official gene symbol approved by hgnc

offset

The offset of the first retrieved result.

limit

Defaults to 20. Limits the result to specified amount of objects. Has a maximum value of 100. Use together with offset and the totalElements attribute in the output to compile all data if needed.

raw

TRUE to receive results as-is from Gemma, or FALSE to enable parsing. Raw results usually contain additional fields and flags that are omitted in the parsed results.

memoised

Whether or not to save to cache for future calls with the same inputs and use the result saved in cache if a result is already saved. Doing options(gemma.memoised = TRUE) will ensure that the cache is always used. Use forget_gemma_memoised to clear the cache.

file

The name of a file to save the results to, or NULL to not write results to a file. If raw == TRUE, the output will be the raw endpoint from the API, likely a JSON or a gzip file. Otherwise, it will be a RDS file.

overwrite

Whether or not to overwrite if a file exists at the specified filename.

Value

A data table with information about the probes representing a gene across all platrofms. A list if raw = TRUE. A 404 error if the given identifier does not map to any genes.

The fields of the output data.table are:

  • element.name: Name of the element. Typically the probeset name

  • element.description: A free text field providing optional information about the element

  • platform.shortName: Shortname of the platform given by Gemma. Typically the GPL identifier.

  • platform.name: Full name of the platform

  • platform.ID: Id number of the platform given by Gemma

  • platform.type: Type of the platform.

  • platform.description: Free text field describing the platform.

  • platform.troubled: Whether the platform is marked as troubled by a Gemma curator.

  • taxon.name: Name of the species platform was made for

  • taxon.scientific: Scientific name for the taxon

  • taxon.ID: Internal identifier given to the species by Gemma

  • taxon.NCBI: NCBI ID of the taxon

  • taxon.database.name: Underlying database used in Gemma for the taxon

  • taxon.database.ID: ID of the underyling database used in Gemma for the taxon

Examples

get_gene_probes("DYRK1A")
#>         element.name
#>               <char>
#>  1:       1374773_at
#>  2:       1370183_at
#>  3: rc_AI104012_g_at
#>  4:   rc_AI104012_at
#>  5:            19904
#>  6:             1639
#>  7:            19904
#>  8:             1639
#>  9:       1374773_at
#> 10:       1370183_at
#> 11:       R000990_01
#> 12:        GE1269392
#> 13:          GE15753
#> 14:   rc_AI073261_at
#> 15:            43666
#> 16:              541
#> 17:    1374773_at_10
#> 18:     1374773_at_9
#> 19:     1374773_at_8
#> 20:     1374773_at_7
#>         element.name
#>                                                                                 element.description
#>                                                                                              <char>
#>  1:                                                                           Transcribed sequences
#>  2:                               dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A
#>  3:                               dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A
#>  4:                               dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A
#>  5:                                                                                            <NA>
#>  6:                                                                                          Dyrk1a
#>  7:                                                                                            <NA>
#>  8:                                                                                          Dyrk1a
#>  9:                                                                               Transcribed locus
#> 10:                               dual-specificity tyrosine-(Y)-phosphorylation regulated kinase 1A
#> 11:                                                                                            <NA>
#> 12: Multiple external sequence references: NM_012791.1, BF554476.1;  [Renamed by Gemma from 311063]
#> 13:                                                                   [Renamed by Gemma from 58029]
#> 14:                                                                                            <NA>
#> 15:                                                                                          Dyrk1a
#> 16:                                                                                                
#> 17:                                                                                                
#> 18:                                                                                                
#> 19:                                                                                                
#> 20:                                                                                                
#>                                                                                 element.description
#>     platform.shortName
#>                 <char>
#>  1:            GPL1355
#>  2:            GPL1355
#>  3:              GPL85
#>  4:              GPL85
#>  5:             GPL890
#>  6:             GPL890
#>  7:            GPL2882
#>  8:            GPL2882
#>  9:             GPL341
#> 10:             GPL341
#> 11:            GPL4528
#> 12:            GPL2896
#> 13:            GPL2896
#> 14:              GPL87
#> 15:            GPL2877
#> 16:            GPL2877
#> 17:            GPL3240
#> 18:            GPL3240
#> 19:            GPL3240
#> 20:            GPL3240
#>     platform.shortName
#>                                                                platform.name
#>                                                                       <char>
#>  1:                             Affymetrix GeneChip Rat Genome 230 2.0 Array
#>  2:                             Affymetrix GeneChip Rat Genome 230 2.0 Array
#>  3:                     Affymetrix GeneChip Rat Genome U34 Array Set RG-U34A
#>  4:                     Affymetrix GeneChip Rat Genome U34 Array Set RG-U34A
#>  5:                             Agilent-011868 Rat Oligo Microarray (G4130A)
#>  6:                             Agilent-011868 Rat Oligo Microarray (G4130A)
#>  7:                          Agilent-013328 Rat Oligo Microarray (V2) G4130B
#>  8:                          Agilent-013328 Rat Oligo Microarray (V2) G4130B
#>  9:                 Affymetrix GeneChip Rat Expression Set 230 Array RAE230A
#> 10:                 Affymetrix GeneChip Rat Expression Set 230 Array RAE230A
#> 11:                                      CapitalBio Rat 27k long oligo array
#> 12: GE Healthcare/Amersham Biosciences CodeLink?   Rat Whole Genome Bioarray
#> 13: GE Healthcare/Amersham Biosciences CodeLink?   Rat Whole Genome Bioarray
#> 14:                     Affymetrix GeneChip Rat Genome U34 Array Set RG-U34C
#> 15:                        Agilent-013162 Whole Rat Genome Microarray G4131A
#> 16:                        Agilent-013162 Whole Rat Genome Microarray G4131A
#> 17:       Affymetrix GeneChip Rat Expression Set 230 Array RAE230A PM probes
#> 18:       Affymetrix GeneChip Rat Expression Set 230 Array RAE230A PM probes
#> 19:       Affymetrix GeneChip Rat Expression Set 230 Array RAE230A PM probes
#> 20:       Affymetrix GeneChip Rat Expression Set 230 Array RAE230A PM probes
#>                                                                platform.name
#>     platform.ID platform.type
#>           <int>        <char>
#>  1:           2      ONECOLOR
#>  2:           2      ONECOLOR
#>  3:           6      ONECOLOR
#>  4:           6      ONECOLOR
#>  5:           9      TWOCOLOR
#>  6:           9      TWOCOLOR
#>  7:         160      TWOCOLOR
#>  8:         160      TWOCOLOR
#>  9:         164      ONECOLOR
#> 10:         164      ONECOLOR
#> 11:         165      TWOCOLOR
#> 12:         169      ONECOLOR
#> 13:         169      ONECOLOR
#> 14:         192      ONECOLOR
#> 15:         240      DUALMODE
#> 16:         240      DUALMODE
#> 17:         265      ONECOLOR
#> 18:         265      ONECOLOR
#> 19:         265      ONECOLOR
#> 20:         265      ONECOLOR
#>     platform.ID platform.type
#>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             platform.description
#>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           <char>
#>  1:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      The GeneChip Rat Genome 230 2.0 Array is a powerful tool for toxicology, neurobiology, and other applications using rat as a model organism.  - Provides comprehensive coverage of the transcribed rat genome on a single array - Comprised of more than 31,000 probe sets, analyzing over 30,000 transcripts and variants from over 28,000 well-substantiated rat genes - The publicly available draft of the rat genome and leading public rat databases were used to refine sequences and provide a higher quality of data output  All probe sets represented on the GeneChip Rat Expression Set 230 are included on the GeneChip Rat Genome 230 2.0 Array. Sequences used in the design of the GeneChip Rat Genome 230 2.0 Array were selected from GenBank, dbEST, and RefSeq. The sequence clusters were created from the UniGene database (Build 99, June 2002) and then refined by analysis and comparison with the publicly available draft assembly of the rat genome from the Baylor College of Medicine Human Genome Sequencing Center (June 2002).  The GeneChip Rat Genome 230 2.0 Array includes representation of the RefSeq database sequences and probe sets related to sequences and refined EST clusters previously represented on the GeneChip Rat Genome U34 Set.  Oligonucleotide probes complementary to each corresponding sequence are synthesized in situ on the arrays. Eleven pairs of oligonucleotide probes are used to measure the level of transcription of each sequence represented on the GeneChip Rat Genome 230 2.0 Array.  Annotations derived from Affymetrix CSV file dated 6/23/2004\nFrom GPL1355\nLast Updated: May 31 2005
#>  2:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      The GeneChip Rat Genome 230 2.0 Array is a powerful tool for toxicology, neurobiology, and other applications using rat as a model organism.  - Provides comprehensive coverage of the transcribed rat genome on a single array - Comprised of more than 31,000 probe sets, analyzing over 30,000 transcripts and variants from over 28,000 well-substantiated rat genes - The publicly available draft of the rat genome and leading public rat databases were used to refine sequences and provide a higher quality of data output  All probe sets represented on the GeneChip Rat Expression Set 230 are included on the GeneChip Rat Genome 230 2.0 Array. Sequences used in the design of the GeneChip Rat Genome 230 2.0 Array were selected from GenBank, dbEST, and RefSeq. The sequence clusters were created from the UniGene database (Build 99, June 2002) and then refined by analysis and comparison with the publicly available draft assembly of the rat genome from the Baylor College of Medicine Human Genome Sequencing Center (June 2002).  The GeneChip Rat Genome 230 2.0 Array includes representation of the RefSeq database sequences and probe sets related to sequences and refined EST clusters previously represented on the GeneChip Rat Genome U34 Set.  Oligonucleotide probes complementary to each corresponding sequence are synthesized in situ on the arrays. Eleven pairs of oligonucleotide probes are used to measure the level of transcription of each sequence represented on the GeneChip Rat Genome 230 2.0 Array.  Annotations derived from Affymetrix CSV file dated 6/23/2004\nFrom GPL1355\nLast Updated: May 31 2005
#>  3:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              The RG-U34 set includes 3 arrays with a total of 26379 entries and was indexed 29-Jan-2002. The set includes ~7,000 known genes and >17,000 EST clusters. The A array contains probes derived from all full-length or annotated genes as well as thousands of EST clusters. The B and C arrays contain only EST clusters.  Keywords = high density oligonucleotide array\nFrom GPL85\nLast Updated: Mar 09 2006
#>  4:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              The RG-U34 set includes 3 arrays with a total of 26379 entries and was indexed 29-Jan-2002. The set includes ~7,000 known genes and >17,000 EST clusters. The A array contains probes derived from all full-length or annotated genes as well as thousands of EST clusters. The B and C arrays contain only EST clusters.  Keywords = high density oligonucleotide array\nFrom GPL85\nLast Updated: Mar 09 2006
#>  5:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         This microarray contains representative sequences derived from rat RefSeq, high-quality public rat mRNA accessions, homologs to human and mouse RefSeq, EST clusters determined by a leading biopharmaceutical company and the Incyte Zooseq database as well as toxicology markers determined by the National Institute of Environmental Health Sciences (NIEHS) and others. Many of the toxicology markers used in the design of this microarray were released to the public domain for the first time and will be used on this unique microarray product.  Arrays of this design have barcodes that begin with 16011868 or 2511868.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions. \nFrom GPL890\nLast Updated: Sep 22 2005
#>  6:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         This microarray contains representative sequences derived from rat RefSeq, high-quality public rat mRNA accessions, homologs to human and mouse RefSeq, EST clusters determined by a leading biopharmaceutical company and the Incyte Zooseq database as well as toxicology markers determined by the National Institute of Environmental Health Sciences (NIEHS) and others. Many of the toxicology markers used in the design of this microarray were released to the public domain for the first time and will be used on this unique microarray product.  Arrays of this design have barcodes that begin with 16011868 or 2511868.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions. \nFrom GPL890\nLast Updated: Sep 22 2005
#>  7:   This microarray contains representative sequences derived from rat RefSeq, high-quality public rat mRNA accessions, homologs to human and mouse RefSeq, EST clusters determined by a leading biopharmaceutical company and the Incyte Zooseq database as well as toxicology markers determined by the National Institute of Environmental Health Sciences (NIEHS) and others. Many of the toxicology markers used in the design of this microarray were released to the public domain for the first time and will be used on this unique microarray product.  Arrays of this design have barcodes that begin with 16013328 or 2513328.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions.   This microarray contains representative sequences derived from rat RefSeq, high-quality public rat mRNA accessions, homologs to human and mouse RefSeq, EST clusters determined by a leading biopharmaceutical company and the Incyte Zooseq database as well as toxicology markers determined by the National Institute of Environmental Health Sciences (NIEHS) and others. Many of the toxicology markers used in the design of this microarray were released to the public domain for the first time and will be used on this unique microarray product.  Arrays of this design have barcodes that begin with 16013328 or 2513328.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions. 
#>  8:   This microarray contains representative sequences derived from rat RefSeq, high-quality public rat mRNA accessions, homologs to human and mouse RefSeq, EST clusters determined by a leading biopharmaceutical company and the Incyte Zooseq database as well as toxicology markers determined by the National Institute of Environmental Health Sciences (NIEHS) and others. Many of the toxicology markers used in the design of this microarray were released to the public domain for the first time and will be used on this unique microarray product.  Arrays of this design have barcodes that begin with 16013328 or 2513328.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions.   This microarray contains representative sequences derived from rat RefSeq, high-quality public rat mRNA accessions, homologs to human and mouse RefSeq, EST clusters determined by a leading biopharmaceutical company and the Incyte Zooseq database as well as toxicology markers determined by the National Institute of Environmental Health Sciences (NIEHS) and others. Many of the toxicology markers used in the design of this microarray were released to the public domain for the first time and will be used on this unique microarray product.  Arrays of this design have barcodes that begin with 16013328 or 2513328.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions. 
#>  9:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           Array A of GeneChip Rat Expression Set 230 Has 15923 entries and was indexed 09-Apr-2003 Sequences used in the design of the array were selected from GenBank, dbEST, and RefSeq. Sequence clusters were created from Build 99 of UniGene (June 2002) and refined by analysis and comparison with a number of other publicly available databases including the Baylor College of Medicine Human Genome Sequencing Center's preliminary rat genome assembly (June 2002). In addition, sequences were analyzed for untrimmed low-quality sequence information, correct orientation, false clustering, alternative splicing and alternative polyadenylation. \nFrom GPL341\nLast Updated: Jul 28 2006
#> 10:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                           Array A of GeneChip Rat Expression Set 230 Has 15923 entries and was indexed 09-Apr-2003 Sequences used in the design of the array were selected from GenBank, dbEST, and RefSeq. Sequence clusters were created from Build 99 of UniGene (June 2002) and refined by analysis and comparison with a number of other publicly available databases including the Baylor College of Medicine Human Genome Sequencing Center's preliminary rat genome assembly (June 2002). In addition, sequences were analyzed for untrimmed low-quality sequence information, correct orientation, false clustering, alternative splicing and alternative polyadenylation. \nFrom GPL341\nLast Updated: Jul 28 2006
#> 11:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                This set includes 27k oligonucleotides, mostly 70-mers, designed based upon the Ensembl Rat Database Version v19.3b.2 and Rat Genome Project.
#> 12:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                CodeLink Rat Whole Genome Bioarray is designed to interrogate approximately 34 000 transcripts representing most of the known and predictive genes of the rat genome, as it is described today in the public domain. Each transcript is represented by a 30-mer probe which is designed to conserved exons across the transcripts of targeted genes. The probe sequences, representing well annotated, full length and partial rat gene sequences, were designed based on sequences selected from the NCBI UniGene build #129, RefSeq database (April 1, 2004 release) and dbEST database (March 20, 2004 release).  Well-annotated mRNA or coding sequences were chosen to ensure usefulness for a large range of applications in basic research, biotechnology, and drug development. Each sequence was carefully screened to ensure high-quality, specific probe design, and to reduce redundancy of gene targets. All of the probes designed to these sequences were functionally tested, and over 95% were functionally validated against 10 rat tissues to ensure best representation of the gene and biologically relevant results. For flexibility and data preservation, CodeLink Rat Whole Genome Bioarrays are compatible with lower density CodeLink rat bioarrays. This means that existing data from CodeLink UniSet? Rat 10K Bioarrays can be continuously used in future studies along with newly generated data from CodeLink Rat Whole Genome Bioarrays.  CodeLink users can submit data to GEO by exporting tab-delimited text files from the CodeLink software. The "Feature_id" header will need to be renamed to "ID_REF", and the "Normalized_intensity" header to "VALUE" before uploading the exported tables.  In addition, users are encouraged to include additional raw data columns in their data uploads. These additional columns do not need to be renamed. 
#> 13:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                CodeLink Rat Whole Genome Bioarray is designed to interrogate approximately 34 000 transcripts representing most of the known and predictive genes of the rat genome, as it is described today in the public domain. Each transcript is represented by a 30-mer probe which is designed to conserved exons across the transcripts of targeted genes. The probe sequences, representing well annotated, full length and partial rat gene sequences, were designed based on sequences selected from the NCBI UniGene build #129, RefSeq database (April 1, 2004 release) and dbEST database (March 20, 2004 release).  Well-annotated mRNA or coding sequences were chosen to ensure usefulness for a large range of applications in basic research, biotechnology, and drug development. Each sequence was carefully screened to ensure high-quality, specific probe design, and to reduce redundancy of gene targets. All of the probes designed to these sequences were functionally tested, and over 95% were functionally validated against 10 rat tissues to ensure best representation of the gene and biologically relevant results. For flexibility and data preservation, CodeLink Rat Whole Genome Bioarrays are compatible with lower density CodeLink rat bioarrays. This means that existing data from CodeLink UniSet? Rat 10K Bioarrays can be continuously used in future studies along with newly generated data from CodeLink Rat Whole Genome Bioarrays.  CodeLink users can submit data to GEO by exporting tab-delimited text files from the CodeLink software. The "Feature_id" header will need to be renamed to "ID_REF", and the "Normalized_intensity" header to "VALUE" before uploading the exported tables.  In addition, users are encouraged to include additional raw data columns in their data uploads. These additional columns do not need to be renamed. 
#> 14:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                              The RG-U34 set includes 3 arrays with a total of 26379 entries and was indexed 29-Jan-2002. The set includes ~7,000 known genes and >17,000 EST clusters. The A array contains probes derived from all full-length or annotated genes as well as thousands of EST clusters. The B and C arrays contain only EST clusters.  Keywords = high density oligonucleotide array\nFrom GPL87\nLast Updated: Jul 28 2006
#> 15:                                                                                                                                                                                                                                                                                                                                         With a focus on well known rat genes and homologues to human and  mouse genes with useful annotation, Agilent's Whole Rat Genome Oligo Microarray provides researchers with a new tool for modeling human biology in the rat model organism. For researchers, this means they now have access to a microarray made up of relevant content that has been empirically validated by Agilent.  Arrays of this design have barcodes that begin with 16013162 or 2513162.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions.   With a focus on well known rat genes and homologues to human and  mouse genes with useful annotation, Agilent's Whole Rat Genome Oligo Microarray provides researchers with a new tool for modeling human biology in the rat model organism. For researchers, this means they now have access to a microarray made up of relevant content that has been empirically validated by Agilent.  Arrays of this design have barcodes that begin with 16013162 or 2513162.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions. 
#> 16:                                                                                                                                                                                                                                                                                                                                         With a focus on well known rat genes and homologues to human and  mouse genes with useful annotation, Agilent's Whole Rat Genome Oligo Microarray provides researchers with a new tool for modeling human biology in the rat model organism. For researchers, this means they now have access to a microarray made up of relevant content that has been empirically validated by Agilent.  Arrays of this design have barcodes that begin with 16013162 or 2513162.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions.   With a focus on well known rat genes and homologues to human and  mouse genes with useful annotation, Agilent's Whole Rat Genome Oligo Microarray provides researchers with a new tool for modeling human biology in the rat model organism. For researchers, this means they now have access to a microarray made up of relevant content that has been empirically validated by Agilent.  Arrays of this design have barcodes that begin with 16013162 or 2513162.  Orientation: Features are numbered numbered Left-to-Right, Top-to-Bottom as scanned by an Agilent scanner (barcode on the left, DNA on the back surface, scanned through the glass), matching the FeatureNum output from Agilent's Feature Extraction software.  The ID column represents the Agilent Feature Extraction feature number.  Rows and columns are numbered as scanned by an Axon Scanner (barcode on the bottom, DNA on the front surface).  To match data scanned on an Axon scanner, use the RefNumber column contained in the Agilent-provided GAL file as the ID_REF column in sample submissions. 
#> 17:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
#> 18:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
#> 19:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
#> 20:                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
#>                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             platform.description
#>     platform.troubled taxon.name  taxon.scientific taxon.ID taxon.NCBI
#>                <lgcl>     <char>            <char>    <int>      <int>
#>  1:             FALSE        rat Rattus norvegicus        3      10116
#>  2:             FALSE        rat Rattus norvegicus        3      10116
#>  3:             FALSE        rat Rattus norvegicus        3      10116
#>  4:             FALSE        rat Rattus norvegicus        3      10116
#>  5:             FALSE        rat Rattus norvegicus        3      10116
#>  6:             FALSE        rat Rattus norvegicus        3      10116
#>  7:             FALSE        rat Rattus norvegicus        3      10116
#>  8:             FALSE        rat Rattus norvegicus        3      10116
#>  9:             FALSE        rat Rattus norvegicus        3      10116
#> 10:             FALSE        rat Rattus norvegicus        3      10116
#> 11:             FALSE        rat Rattus norvegicus        3      10116
#> 12:             FALSE        rat Rattus norvegicus        3      10116
#> 13:             FALSE        rat Rattus norvegicus        3      10116
#> 14:             FALSE        rat Rattus norvegicus        3      10116
#> 15:             FALSE        rat Rattus norvegicus        3      10116
#> 16:             FALSE        rat Rattus norvegicus        3      10116
#> 17:             FALSE        rat Rattus norvegicus        3      10116
#> 18:             FALSE        rat Rattus norvegicus        3      10116
#> 19:             FALSE        rat Rattus norvegicus        3      10116
#> 20:             FALSE        rat Rattus norvegicus        3      10116
#>     platform.troubled taxon.name  taxon.scientific taxon.ID taxon.NCBI
#>     taxon.database.name taxon.database.ID
#>                  <char>             <int>
#>  1:                 rn6                86
#>  2:                 rn6                86
#>  3:                 rn6                86
#>  4:                 rn6                86
#>  5:                 rn6                86
#>  6:                 rn6                86
#>  7:                 rn6                86
#>  8:                 rn6                86
#>  9:                 rn6                86
#> 10:                 rn6                86
#> 11:                 rn6                86
#> 12:                 rn6                86
#> 13:                 rn6                86
#> 14:                 rn6                86
#> 15:                 rn6                86
#> 16:                 rn6                86
#> 17:                 rn6                86
#> 18:                 rn6                86
#> 19:                 rn6                86
#> 20:                 rn6                86
#>     taxon.database.name taxon.database.ID