生物
注释
小桶
计算生物学
上传
系统发育树
成对比较
基因组
本体论
可视化
Web服务
基因本体论
计算机科学
生物信息学
遗传学
基因
数据挖掘
万维网
人工智能
哲学
基因表达
认识论
作者
Jaime Huerta‐Cepas,Damian Szklarczyk,Sofia K. Forslund,Helen Cook,Davide Heller,Mathias C. Walter,Thomas Rattei,Daniel R. Mende,Shinichi Sunagawa,Michael Kuhn,Lars Juhl Jensen,Christian von Mering,Peer Bork
摘要
eggNOG is a public resource that provides Orthologous Groups (OGs) of proteins at different taxonomic levels, each with integrated and summarized functional annotations. Developments since the latest public release include changes to the algorithm for creating OGs across taxonomic levels, making nested groups hierarchically consistent. This allows for a better propagation of functional terms across nested OGs and led to the novel annotation of 95 890 previously uncharacterized OGs, increasing overall annotation coverage from 67% to 72%. The functional annotations of OGs have been expanded to also provide Gene Ontology terms, KEGG pathways and SMART/Pfam domains for each group. Moreover, eggNOG now provides pairwise orthology relationships within OGs based on analysis of phylogenetic trees. We have also incorporated a framework for quickly mapping novel sequences to OGs based on precomputed HMM profiles. Finally, eggNOG version 4.5 incorporates a novel data set spanning 2605 viral OGs, covering 5228 proteins from 352 viral proteomes. All data are accessible for bulk downloading, as a web-service, and through a completely redesigned web interface. The new access points provide faster searches and a number of new browsing and visualization capabilities, facilitating the needs of both experts and less experienced users. eggNOG v4.5 is available at http://eggnog.embl.de.
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