EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species

<p>Abstract</p> <p>Background</p> <p>It is always difficult to interpret microarray results. Recently, a handful of tools have been developed to meet this need, but almost none of them were designed to support agronomical species.</p> <p>Description</p>...

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Main Authors: Su Zhen, Zhou Xin
Format: Article
Language:English
Published: BMC 2007-07-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/8/246
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spelling doaj-b565184ec17f4fc9ae98add6f74b75ca2020-11-25T02:19:39ZengBMCBMC Genomics1471-21642007-07-018124610.1186/1471-2164-8-246EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical speciesSu ZhenZhou Xin<p>Abstract</p> <p>Background</p> <p>It is always difficult to interpret microarray results. Recently, a handful of tools have been developed to meet this need, but almost none of them were designed to support agronomical species.</p> <p>Description</p> <p>This paper presents EasyGO, a web server to perform Gene Ontology based functional interpretation on groups of genes or GeneChip probe sets. EasyGO makes a special contribution to the agronomical research community by supporting Affymetrix GeneChips of both crops and farm animals and by providing stronger capabilities for results visualization and user interaction. Currently it supports 11 agronomical plants, 3 farm animals, and the model plant <it>Arabidopsis</it>. The authors demonstrated EasyGO's ability to uncover hidden knowledge by analyzing a group of probe sets with similar expression profiles.</p> <p>Conclusion</p> <p>EasyGO is a good tool for helping biologists and agricultural scientists to discover enriched biological knowledge that can provide solutions or suggestions for original problems. It is freely available to all users at <url>http://bioinformatics.cau.edu.cn/easygo/</url>.</p> http://www.biomedcentral.com/1471-2164/8/246
collection DOAJ
language English
format Article
sources DOAJ
author Su Zhen
Zhou Xin
spellingShingle Su Zhen
Zhou Xin
EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
BMC Genomics
author_facet Su Zhen
Zhou Xin
author_sort Su Zhen
title EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
title_short EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
title_full EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
title_fullStr EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
title_full_unstemmed EasyGO: Gene Ontology-based annotation and functional enrichment analysis tool for agronomical species
title_sort easygo: gene ontology-based annotation and functional enrichment analysis tool for agronomical species
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2007-07-01
description <p>Abstract</p> <p>Background</p> <p>It is always difficult to interpret microarray results. Recently, a handful of tools have been developed to meet this need, but almost none of them were designed to support agronomical species.</p> <p>Description</p> <p>This paper presents EasyGO, a web server to perform Gene Ontology based functional interpretation on groups of genes or GeneChip probe sets. EasyGO makes a special contribution to the agronomical research community by supporting Affymetrix GeneChips of both crops and farm animals and by providing stronger capabilities for results visualization and user interaction. Currently it supports 11 agronomical plants, 3 farm animals, and the model plant <it>Arabidopsis</it>. The authors demonstrated EasyGO's ability to uncover hidden knowledge by analyzing a group of probe sets with similar expression profiles.</p> <p>Conclusion</p> <p>EasyGO is a good tool for helping biologists and agricultural scientists to discover enriched biological knowledge that can provide solutions or suggestions for original problems. It is freely available to all users at <url>http://bioinformatics.cau.edu.cn/easygo/</url>.</p>
url http://www.biomedcentral.com/1471-2164/8/246
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AT zhouxin easygogeneontologybasedannotationandfunctionalenrichmentanalysistoolforagronomicalspecies
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