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GeneCards Version 3: the human gene integrator
GeneCards (www.genecards.org) is a comprehensive, authoritative compendium of annotative information about human genes, widely used for nearly 15 years. Its gene-centric content is automatically mined and integrated from over 80 digital sources, resulting in a web-based deep-linked card for each of...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938269/ https://www.ncbi.nlm.nih.gov/pubmed/20689021 http://dx.doi.org/10.1093/database/baq020 |
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author | Safran, Marilyn Dalah, Irina Alexander, Justin Rosen, Naomi Iny Stein, Tsippi Shmoish, Michael Nativ, Noam Bahir, Iris Doniger, Tirza Krug, Hagit Sirota-Madi, Alexandra Olender, Tsviya Golan, Yaron Stelzer, Gil Harel, Arye Lancet, Doron |
author_facet | Safran, Marilyn Dalah, Irina Alexander, Justin Rosen, Naomi Iny Stein, Tsippi Shmoish, Michael Nativ, Noam Bahir, Iris Doniger, Tirza Krug, Hagit Sirota-Madi, Alexandra Olender, Tsviya Golan, Yaron Stelzer, Gil Harel, Arye Lancet, Doron |
author_sort | Safran, Marilyn |
collection | PubMed |
description | GeneCards (www.genecards.org) is a comprehensive, authoritative compendium of annotative information about human genes, widely used for nearly 15 years. Its gene-centric content is automatically mined and integrated from over 80 digital sources, resulting in a web-based deep-linked card for each of >73 000 human gene entries, encompassing the following categories: protein coding, pseudogene, RNA gene, genetic locus, cluster and uncategorized. We now introduce GeneCards Version 3, featuring a speedy and sophisticated search engine and a revamped, technologically enabling infrastructure, catering to the expanding needs of biomedical researchers. A key focus is on gene-set analyses, which leverage GeneCards’ unique wealth of combinatorial annotations. These include the GeneALaCart batch query facility, which tabulates user-selected annotations for multiple genes and GeneDecks, which identifies similar genes with shared annotations, and finds set-shared annotations by descriptor enrichment analysis. Such set-centric features address a host of applications, including microarray data analysis, cross-database annotation mapping and gene-disorder associations for drug targeting. We highlight the new Version 3 database architecture, its multi-faceted search engine, and its semi-automated quality assurance system. Data enhancements include an expanded visualization of gene expression patterns in normal and cancer tissues, an integrated alternative splicing pattern display, and augmented multi-source SNPs and pathways sections. GeneCards now provides direct links to gene-related research reagents such as antibodies, recombinant proteins, DNA clones and inhibitory RNAs and features gene-related drugs and compounds lists. We also portray the GeneCards Inferred Functionality Score annotation landscape tool for scoring a gene’s functional information status. Finally, we delineate examples of applications and collaborations that have benefited from the GeneCards suite. Database URL: www.genecards.org |
format | Text |
id | pubmed-2938269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-29382692010-09-13 GeneCards Version 3: the human gene integrator Safran, Marilyn Dalah, Irina Alexander, Justin Rosen, Naomi Iny Stein, Tsippi Shmoish, Michael Nativ, Noam Bahir, Iris Doniger, Tirza Krug, Hagit Sirota-Madi, Alexandra Olender, Tsviya Golan, Yaron Stelzer, Gil Harel, Arye Lancet, Doron Database (Oxford) Database Update GeneCards (www.genecards.org) is a comprehensive, authoritative compendium of annotative information about human genes, widely used for nearly 15 years. Its gene-centric content is automatically mined and integrated from over 80 digital sources, resulting in a web-based deep-linked card for each of >73 000 human gene entries, encompassing the following categories: protein coding, pseudogene, RNA gene, genetic locus, cluster and uncategorized. We now introduce GeneCards Version 3, featuring a speedy and sophisticated search engine and a revamped, technologically enabling infrastructure, catering to the expanding needs of biomedical researchers. A key focus is on gene-set analyses, which leverage GeneCards’ unique wealth of combinatorial annotations. These include the GeneALaCart batch query facility, which tabulates user-selected annotations for multiple genes and GeneDecks, which identifies similar genes with shared annotations, and finds set-shared annotations by descriptor enrichment analysis. Such set-centric features address a host of applications, including microarray data analysis, cross-database annotation mapping and gene-disorder associations for drug targeting. We highlight the new Version 3 database architecture, its multi-faceted search engine, and its semi-automated quality assurance system. Data enhancements include an expanded visualization of gene expression patterns in normal and cancer tissues, an integrated alternative splicing pattern display, and augmented multi-source SNPs and pathways sections. GeneCards now provides direct links to gene-related research reagents such as antibodies, recombinant proteins, DNA clones and inhibitory RNAs and features gene-related drugs and compounds lists. We also portray the GeneCards Inferred Functionality Score annotation landscape tool for scoring a gene’s functional information status. Finally, we delineate examples of applications and collaborations that have benefited from the GeneCards suite. Database URL: www.genecards.org Oxford University Press 2010-08-05 /pmc/articles/PMC2938269/ /pubmed/20689021 http://dx.doi.org/10.1093/database/baq020 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Update Safran, Marilyn Dalah, Irina Alexander, Justin Rosen, Naomi Iny Stein, Tsippi Shmoish, Michael Nativ, Noam Bahir, Iris Doniger, Tirza Krug, Hagit Sirota-Madi, Alexandra Olender, Tsviya Golan, Yaron Stelzer, Gil Harel, Arye Lancet, Doron GeneCards Version 3: the human gene integrator |
title | GeneCards Version 3: the human gene integrator |
title_full | GeneCards Version 3: the human gene integrator |
title_fullStr | GeneCards Version 3: the human gene integrator |
title_full_unstemmed | GeneCards Version 3: the human gene integrator |
title_short | GeneCards Version 3: the human gene integrator |
title_sort | genecards version 3: the human gene integrator |
topic | Database Update |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2938269/ https://www.ncbi.nlm.nih.gov/pubmed/20689021 http://dx.doi.org/10.1093/database/baq020 |
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