The impact of focused Gene Ontology curation of specific mammalian systems
The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, suc...
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Published in | PloS one Vol. 6; no. 12; p. e27541 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Public Library of Science
09.12.2011
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Abstract | The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome.
GO ANNOTATION DATA IS FREELY AVAILABLE FROM: ftp://ftp.geneontology.org/pub/go/gene-associations/ |
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AbstractList | The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome.
GO ANNOTATION DATA IS FREELY AVAILABLE FROM: ftp://ftp.geneontology.org/pub/go/gene-associations/ The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome. The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome. Availability GO annotation data is freely available from: ftp://ftp.geneontology.org/pub/go/gene-associations/ The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups ( www.geneontology.org ). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome. UNLABELLEDThe Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome.AVAILABILITYGO ANNOTATION DATA IS FREELY AVAILABLE FROM: ftp://ftp.geneontology.org/pub/go/gene-associations/ The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome. Availability GO annotation data is freely available from: ftp://ftp.geneontology.org/pub/go/gene-associations/ The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the functional attributes and subcellular locations of gene products from all taxonomic groups (www.geneontology.org). System-focused projects, such as the Renal and Cardiovascular GO Annotation Initiatives, aim to provide detailed GO data for proteins implicated in specific organ development and function. Such projects support the rapid evaluation of new experimental data and aid in the generation of novel biological insights to help alleviate human disease. This paper describes the improvement of GO data for renal and cardiovascular research communities and demonstrates that the cardiovascular-focused GO annotations, created over the past three years, have led to an evident improvement of microarray interpretation. The reanalysis of cardiovascular microarray datasets confirms the need to continue to improve the annotation of the human proteome.GO ANNOTATION DATA IS FREELY AVAILABLE FROM: ftp://ftp.geneontology.org/pub/go/gene-associations/ |
Audience | Academic |
Author | Sawford, Tony Martin, Maria J Apweiler, Rolf Dimmer, Emily C Scambler, Peter O'Donovan, Claire Khodiyar, Varsha K Alam-Faruque, Yasmin Huntley, Rachael P Camon, Evelyn B Talmud, Philippa J Lovering, Ruth C |
AuthorAffiliation | 1 EMBL-European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom University College Dublin, Ireland 2 Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, United Kingdom 3 Molecular Medicine Unit, Institute of Child Health, University College London, London, United Kingdom |
AuthorAffiliation_xml | – name: 2 Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, United Kingdom – name: University College Dublin, Ireland – name: 1 EMBL-European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom – name: 3 Molecular Medicine Unit, Institute of Child Health, University College London, London, United Kingdom |
Author_xml | – sequence: 1 givenname: Yasmin surname: Alam-Faruque fullname: Alam-Faruque, Yasmin organization: EMBL-European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom – sequence: 2 givenname: Rachael P surname: Huntley fullname: Huntley, Rachael P – sequence: 3 givenname: Varsha K surname: Khodiyar fullname: Khodiyar, Varsha K – sequence: 4 givenname: Evelyn B surname: Camon fullname: Camon, Evelyn B – sequence: 5 givenname: Emily C surname: Dimmer fullname: Dimmer, Emily C – sequence: 6 givenname: Tony surname: Sawford fullname: Sawford, Tony – sequence: 7 givenname: Maria J surname: Martin fullname: Martin, Maria J – sequence: 8 givenname: Claire surname: O'Donovan fullname: O'Donovan, Claire – sequence: 9 givenname: Philippa J surname: Talmud fullname: Talmud, Philippa J – sequence: 10 givenname: Peter surname: Scambler fullname: Scambler, Peter – sequence: 11 givenname: Rolf surname: Apweiler fullname: Apweiler, Rolf – sequence: 12 givenname: Ruth C surname: Lovering fullname: Lovering, Ruth C |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22174742$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_tig_2014_10_001 crossref_primary_10_1261_rna_065565_118 crossref_primary_10_1186_2041_1480_4_S1_S4 crossref_primary_10_3390_genes9120593 crossref_primary_10_1093_database_bav009 crossref_primary_10_1093_nar_gku1113 crossref_primary_10_1098_rsob_200149 crossref_primary_10_3892_mmr_2013_1498 crossref_primary_10_1007_s12021_015_9293_2 crossref_primary_10_1186_1471_2105_15_45 crossref_primary_10_1093_database_bat054 crossref_primary_10_1021_acs_jproteome_7b00235 crossref_primary_10_1186_2047_217X_3_4 crossref_primary_10_1186_s12859_015_0622_0 crossref_primary_10_1371_journal_pone_0170712 crossref_primary_10_1097_MD_0000000000031065 crossref_primary_10_1371_journal_pone_0099864 crossref_primary_10_1093_cvr_cvs346 crossref_primary_10_1261_rna_055301_115 |
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Copyright | COPYRIGHT 2011 Public Library of Science 2011 Alam-Faruque et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Alam-Faruque et al. 2011 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Conceived and designed the experiments: RCL RA ECD PS PJT. Performed the experiments: YA-F VKK RCL EBC RPH ECD. Analyzed the data: RPH RCL. Contributed reagents/materials/analysis tools: TJS MJM. Wrote the paper: YA-F RPH ECD COD RCL. |
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Snippet | The Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description of the... UNLABELLEDThe Gene Ontology (GO) resource provides dynamic controlled vocabularies to provide an information-rich resource to aid in the consistent description... |
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SubjectTerms | Animals Annotations Antigens Arthritis Automation Avian flu Bioinformatics Biology Consortia Controlled vocabularies Crohn's disease Crohns disease Cytokines Databases, Genetic Datasets DNA microarrays Extracellular matrix Gene expression Genes High-Throughput Nucleotide Sequencing Humans Hypertension Kidney - growth & development Kidney - metabolism Kidneys Macrophages - metabolism Macrophages - pathology Mammals - genetics Molecular Sequence Annotation - methods Oligonucleotide Array Sequence Analysis Ontology Proteins Proteomes Statistics as Topic Surfactants |
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Title | The impact of focused Gene Ontology curation of specific mammalian systems |
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