GOAT
Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Xu, Qikai [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2005 |
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| Schlagwörter: |
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| Anmerkung: |
© Adis Data Information BV 2005 |
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| Übergeordnetes Werk: |
Enthalten in: Applied Bioinformatics - Springer International Publishing, 2004, 4(2005), 4 vom: Dez., Seite 281-283 |
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| Übergeordnetes Werk: |
volume:4 ; year:2005 ; number:4 ; month:12 ; pages:281-283 |
| Links: |
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| DOI / URN: |
10.2165/00822942-200504040-00008 |
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| 520 | |a Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. | ||
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10.2165/00822942-200504040-00008 doi (DE-627)SPR035648406 (SPR)00822942-200504040-00008-e DE-627 ger DE-627 rakwb eng Xu, Qikai verfasserin aut GOAT 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Adis Data Information BV 2005 Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. Gene Ontology (dpeaa)DE-He213 Gene List (dpeaa)DE-He213 Annotation Data (dpeaa)DE-He213 Term Enrichment (dpeaa)DE-He213 Annotation File (dpeaa)DE-He213 Shaulsky, Gad aut Enthalten in Applied Bioinformatics Springer International Publishing, 2004 4(2005), 4 vom: Dez., Seite 281-283 (DE-627)SPR035647698 nnns volume:4 year:2005 number:4 month:12 pages:281-283 https://dx.doi.org/10.2165/00822942-200504040-00008 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 4 2005 4 12 281-283 |
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10.2165/00822942-200504040-00008 doi (DE-627)SPR035648406 (SPR)00822942-200504040-00008-e DE-627 ger DE-627 rakwb eng Xu, Qikai verfasserin aut GOAT 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Adis Data Information BV 2005 Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. Gene Ontology (dpeaa)DE-He213 Gene List (dpeaa)DE-He213 Annotation Data (dpeaa)DE-He213 Term Enrichment (dpeaa)DE-He213 Annotation File (dpeaa)DE-He213 Shaulsky, Gad aut Enthalten in Applied Bioinformatics Springer International Publishing, 2004 4(2005), 4 vom: Dez., Seite 281-283 (DE-627)SPR035647698 nnns volume:4 year:2005 number:4 month:12 pages:281-283 https://dx.doi.org/10.2165/00822942-200504040-00008 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 4 2005 4 12 281-283 |
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10.2165/00822942-200504040-00008 doi (DE-627)SPR035648406 (SPR)00822942-200504040-00008-e DE-627 ger DE-627 rakwb eng Xu, Qikai verfasserin aut GOAT 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Adis Data Information BV 2005 Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. Gene Ontology (dpeaa)DE-He213 Gene List (dpeaa)DE-He213 Annotation Data (dpeaa)DE-He213 Term Enrichment (dpeaa)DE-He213 Annotation File (dpeaa)DE-He213 Shaulsky, Gad aut Enthalten in Applied Bioinformatics Springer International Publishing, 2004 4(2005), 4 vom: Dez., Seite 281-283 (DE-627)SPR035647698 nnns volume:4 year:2005 number:4 month:12 pages:281-283 https://dx.doi.org/10.2165/00822942-200504040-00008 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 4 2005 4 12 281-283 |
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10.2165/00822942-200504040-00008 doi (DE-627)SPR035648406 (SPR)00822942-200504040-00008-e DE-627 ger DE-627 rakwb eng Xu, Qikai verfasserin aut GOAT 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Adis Data Information BV 2005 Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. Gene Ontology (dpeaa)DE-He213 Gene List (dpeaa)DE-He213 Annotation Data (dpeaa)DE-He213 Term Enrichment (dpeaa)DE-He213 Annotation File (dpeaa)DE-He213 Shaulsky, Gad aut Enthalten in Applied Bioinformatics Springer International Publishing, 2004 4(2005), 4 vom: Dez., Seite 281-283 (DE-627)SPR035647698 nnns volume:4 year:2005 number:4 month:12 pages:281-283 https://dx.doi.org/10.2165/00822942-200504040-00008 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 4 2005 4 12 281-283 |
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10.2165/00822942-200504040-00008 doi (DE-627)SPR035648406 (SPR)00822942-200504040-00008-e DE-627 ger DE-627 rakwb eng Xu, Qikai verfasserin aut GOAT 2005 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Adis Data Information BV 2005 Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. Gene Ontology (dpeaa)DE-He213 Gene List (dpeaa)DE-He213 Annotation Data (dpeaa)DE-He213 Term Enrichment (dpeaa)DE-He213 Annotation File (dpeaa)DE-He213 Shaulsky, Gad aut Enthalten in Applied Bioinformatics Springer International Publishing, 2004 4(2005), 4 vom: Dez., Seite 281-283 (DE-627)SPR035647698 nnns volume:4 year:2005 number:4 month:12 pages:281-283 https://dx.doi.org/10.2165/00822942-200504040-00008 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 4 2005 4 12 281-283 |
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Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. © Adis Data Information BV 2005 |
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Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. © Adis Data Information BV 2005 |
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Abstract Understanding the composition of gene lists that result from high-throughput experiments requires elaborate processing of gene annotation lists. In this article we present GOAT (Gene Ontology Analysis Tool), a tool based on the statistical software ‘R’ for analysing Gene Ontology™ (GO) term enrichment in gene lists. Given a gene list, GOAT calculates the enrichment and statistical significance of every GO term and generates graphical presentations of significantly enriched terms. GOAT works for any organism with a genome-scale GO annotation and allows easy updates of ontologies and annotations. © Adis Data Information BV 2005 |
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