PANTHER version 11: expanded annotation data from Gene Ontology and Reactome pathways, and data analysis tool enhancements

被引：1584

作者：

Mi, Huaiyu ^{[1
]}

Huang, Xiaosong ^{[1
]}

Muruganujan, Anushya ^{[1
]}

Tang, Haiming ^{[1
]}

Mills, Caitlin ^{[1
]}

Kang, Diane ^{[1
]}

Thomas, Paul D. ^{[1
]}

机构：

[1] Univ Southern Calif, Keck Sch Med USC, Div Bioinformat, Dept Prevent Med, Los Angeles, CA 90033 USA

来源：

NUCLEIC ACIDS RESEARCH | 2017年 / 45卷 / D1期

基金：

美国国家科学基金会; 美国国家卫生研究院;

关键词：

PROTEIN FAMILIES; POLYMORPHISMS; DISEASE;

D O I：

10.1093/nar/gkw1138

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The PANTHER database (Protein ANalysis THrough Evolutionary Relationships, http://pantherdb.org) contains comprehensive information on the evolution and function of protein-coding genes from 104 completely sequenced genomes. PANTHER software tools allow users to classify new protein sequences, and to analyze gene lists obtained from large-scale genomics experiments. In the past year, major improvements include a large expansion of classification information available in PANTHER, as well as significant enhancements to the analysis tools. Protein subfamily functional classifications have more than doubled due to progress of the Gene Ontology Phylogenetic Annotation Project. For human genes (as well as a few other organisms), PANTHER now also supports enrichment analysis using pathway classifications from the Reactome resource. The gene list enrichment tools include a new 'hierarchical view' of results, enabling users to leverage the structure of the classifications/ontologies; the tools also allow users to upload genetic variant data directly, rather than requiring prior conversion to a gene list. The updated coding single-nucleotide polymorphisms (SNP) scoring tool uses an improved algorithm. The hidden Markov model (HMM) search tools now use HMMER3, dramatically reducing search times and improving accuracy of E-value statistics. Finally, the PANTHER Tree-Attribute Viewer has been implemented in JavaScript, with new views for exploring protein sequence evolution.

引用

页码：D183 / D189

页数：7

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