期刊
MOLECULAR & CELLULAR PROTEOMICS
卷 2, 期 11, 页码 1164-1176出版社
AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.M300059-MCP200
关键词
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资金
- NHLBI NIH HHS [P01 HL070694-036744, R01 HL067569, R01 HL067569-01, R01 HL067569-02, HL 67569, R01 HL067569-03, P01 HL070694-036740, R01 HL067569-04, P01 HL070694-010004, P01 HL070694-019003, HL 70694, P01 HL070694] Funding Source: Medline
- NIGMS NIH HHS [P20 GM065764-010003, P20 GM065764, GM 65764] Funding Source: Medline
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL067569, P01HL070694] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P20GM065764] Funding Source: NIH RePORTER
Comprehensive understanding of biological systems requires efficient and systematic assimilation of high-throughput datasets in the context of the existing knowledge base. A major limitation in the field of proteomics is the lack of an appropriate software platform that can synthesize a large number of experimental datasets in the context of the existing knowledge base. Here, we describe a software platform, termed PROTEOME-3D, that utilizes three essential features for systematic analysis of proteomics data: creation of a scalable, queryable, customized database for identified proteins from published literature; graphical tools for displaying proteome landscapes and trends from multiple large-scale experiments; and interactive data analysis that facilitates identification of crucial networks and pathways. Thus, PROTEOME-3D offers a standardized platform to analyze high-throughput experimental datasets for the identification of crucial players in co-regulated pathways and cellular processes.
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