Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA 90033, USA.
School of Life Sciences, Guangzhou University, Guangzhou 510006, China.
Nucleic Acids Res. 2019 Jan 8;47(D1):D419-D426. doi: 10.1093/nar/gky1038.
PANTHER (Protein Analysis Through Evolutionary Relationships, http://pantherdb.org) is a resource for the evolutionary and functional classification of genes from organisms across the tree of life. We report the improvements we have made to the resource during the past two years. For evolutionary classifications, we have added more prokaryotic and plant genomes to the phylogenetic gene trees, expanding the representation of gene evolution in these lineages. We have refined many protein family boundaries, and have aligned PANTHER with the MEROPS resource for protease and protease inhibitor families. For functional classifications, we have developed an entirely new PANTHER GO-slim, containing over four times as many Gene Ontology terms as our previous GO-slim, as well as curated associations of genes to these terms. Lastly, we have made substantial improvements to the enrichment analysis tools available on the PANTHER website: users can now analyze over 900 different genomes, using updated statistical tests with false discovery rate corrections for multiple testing. The overrepresentation test is also available as a web service, for easy addition to third-party sites.
PANTHER(通过进化关系进行蛋白质分析,http://pantherdb.org)是一个资源,用于对来自生命之树中各种生物的基因进行进化和功能分类。我们报告了过去两年中我们对该资源所做的改进。对于进化分类,我们在系统发育基因树上添加了更多的原核生物和植物基因组,扩大了这些谱系中基因进化的代表性。我们细化了许多蛋白质家族的边界,并将 PANTHER 与 MEROPS 蛋白酶和蛋白酶抑制剂家族资源对齐。对于功能分类,我们开发了一个全新的 PANTHER GO-slim,其中包含的基因本体论术语比我们之前的 GO-slim 多四倍以上,并且对这些术语进行了基因的精心整理。最后,我们对 PANTHER 网站上可用的富集分析工具进行了重大改进:用户现在可以使用经过更新的统计测试,对 900 多个不同的基因组进行分析,并对多重测试进行错误发现率校正。过表达测试也作为一个网络服务提供,便于轻松添加到第三方网站。