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pathDIP 4: an extended pathway annotations and enrichment analysis resource for human, model organisms and domesticated species

机译:Pathdip 4:人类,模型生物和驯养物种的延长途径注释和富集分析资源

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PathDIP was introduced to increase proteome coverage of literature-curated human pathway databases. PathDIP 4 now integrates 24 major databases. To further reduce the number of proteins with no curated pathway annotation, pathDIP integrates pathways with physical protein–protein interactions (PPIs) to predict significant physical associations between proteins and curated pathways. For human, it provides pathway annotations for 5366 pathway orphans. Integrated pathway annotation now includes six model organisms and ten domesticated animals. A total of 6401 core and ortholog pathways have been curated from the literature or by annotating orthologs of human proteins in the literature-curated pathways. Extended pathways are the result of combining these pathways with protein-pathway associations that are predicted using organism-specific PPIs. Extended pathways expand proteome coverage from 81 088 to 120 621 proteins, making pathDIP 4 the largest publicly available pathway database for these organisms and providing a necessary platform for comprehensive pathway-enrichment analysis. PathDIP 4 users can customize their search and analysis by selecting organism, identifier and subset of pathways. Enrichment results and detailed annotations for input list can be obtained in different formats and views. To support automated bioinformatics workflows, Java, R and Python APIs are available for batch pathway annotation and enrichment analysis. PathDIP 4 is publicly available at http://ophid.utoronto.ca/pathDIP.
机译:介绍了病行物,以增加文献治疗的人途径数据库的蛋白质组覆盖率。 PathDip 4现在集成了24个主要数据库。为了进一步减少没有驯化途径注释的蛋白质的数量,Pathdip与物理蛋白质 - 蛋白质相互作用(PPI)的途径相结合,以预测蛋白质和愈合途径之间的显着物理关联。对于人类,它为5366个途径孤儿提供途径注释。综合路径注释现在包括六种模型生物和十个驯养动物。总共6401核和正轨途径已经从文献中或通过在文献驯化的途径中注释人类蛋白质的原肠球菌。延长的途径是将这些途径与使用有机体特异性PPI预测的蛋白质通路缔合的途径组合的结果。扩展途径从81 088到120 621蛋白的蛋白质组覆盖率扩大,使Pathdip 4成为这些生物的最大公众的途径数据库,并为综合途径富集分析提供必要的平台。 PathDip 4用户可以通过选择有机体,标识符和路径子集来自定义搜索和分析。可以以不同的格式和视图获取浓缩结果和输入列表的详细注释。为了支持自动生物信息学工作流程,Java,R和Python API可用于批量路径注释和浓缩分析。 Pathdip 4在http://ophid.utoronto.ca/PathDip上公开提供。

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