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STEM: A software tool for large-scale proteomic data analyses

delete2005-08-20
delete50
PRE
AI
T
Takashi Shinkawa
M
Masato Taoka
Y
Yoshio Yamauchi
T
Tohru Ichimura
H
Hiroyuki Kaji
N
N. Takahashi
T
Toshiaki Isobe
DOI：10.1021/pr050167xdelete
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Abstract

Abstract

En 中文
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.
Keywords:
software
bioinformatics
data analysis
quantitation
liquid chromatography
mass spectrometry
proteomics
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Journal

Journal of Proteome Research cover
Journal of Proteome Research
IF:
3.6
Papers:
9.3K
Citations:
2.3W

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No organization information available