期刊
JOURNAL OF PROTEOME RESEARCH
卷 4, 期 5, 页码 1826-1831出版社
AMER CHEMICAL SOC
DOI: 10.1021/pr050167x
关键词
software; bioinformatics; data analysis; quantitation; liquid chromatography; mass spectrometry; proteomics
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.
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