Journal
MOLECULAR & CELLULAR PROTEOMICS
Volume 5, Issue 8, Pages 1497-1513Publisher
AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.T500027-MCP200
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Funding
- NCI NIH HHS [CA098131] Funding Source: Medline
- NHLBI NIH HHS [HL68744] Funding Source: Medline
- NIAID NIH HHS [N01 AI40079] Funding Source: Medline
- NICHD NIH HHS [P30 HD15052] Funding Source: Medline
- NIEHS NIH HHS [ES11993] Funding Source: Medline
- NIGMS NIH HHS [GM64779] Funding Source: Medline
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Although generating large amounts of proteomic data using tandem mass spectrometry has become routine, there is currently no single set of comprehensive tools for the rigorous analysis of tandem mass spectrometry results given the large variety of possible experimental aims. Currently available applications are typically designed for displaying proteins and posttranslational modifications from the point of view of the mass spectrometrist and are not versatile enough to allow investigators to develop biological models of protein function, protein structure, or cell state. In addition, storage and dissemination of mass spectrometry-based proteomic data are problems facing the scientific community. To address these issues, we have developed a relational database model that efficiently stores and manages large amounts of tandem mass spectrometry results. We have developed an integrated suite of multifunctional analysis software for interpreting, comparing, and displaying these results. Our system, Bioinformatic Graphical Comparative Analysis Tools (BIGCAT), allows sophisticated analysis of tandem mass spectrometry results in a biologically intuitive format and provides a solution to many data storage and dissemination issues.
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