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Updated: Jul 31, 2026

TMT Sample Preparation for Proteomics Facility Submission and Subsequent Data Analysis
Published on: June 8, 2020
STEM: a software tool for large-scale proteomic data analyses
Takashi Shinkawa1, Masato Taoka, Yoshio Yamauchi
1Integrated Proteomics System Project, Pioneer Research on Genome the Frontier, MEXT, c/o Department of Chemistry, Graduate School of Science, Tokyo Metropolitan University, 1-1 Minami-osawa, Hachioji-shi, Tokyo 192-0397, Japan.
Abstract:
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.

