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STEM: A software tool for large-scale proteomic data analyses
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DOI：10.1021/pr050167x.png)
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摘要
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We describe the software, STEM (STrategic Extractor for Mascot's results), which efficiently processes large-scale mass spectrometry-based proteomics data. V (View)-mode evaluates the Mascot peptide identification dataset, removes unreliable candidates and redundant assignments, and integrates the results with key information in the experiment. C (Comparison)-mode compares peptide coverage among multiple datasets and displays proteins commonly/specifically found therein, and processes data for quantitative studies that utilize conventional isotope tags or tags having a smaller mass difference. STEM significantly improves throughput of proteomics study.
Keyword:
software
bioinformatics
data analysis
quantitation
liquid chromatography
mass spectrometry
proteomics
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