Abstract
PeptideWitch is a python-based web module that introduces several key graphical and technical improvements to the Scrappy software platform, which is designed for label-free quantitative shotgun proteomics analysis using normalised spectral abundance factors. The program inputs are low stringency protein identification lists output from peptide-to-spectrum matching search engines for 'control' and 'treated' samples. Through a combination of spectral count summation and inner joins, PeptideWitch processes low stringency data, and outputs high stringency data that are suitable for downstream quantitation. Data quality metrics are generated, and a series of statistical analyses and graphical representations are presented, aimed at defining and presenting the difference between the two sample proteomes.
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Handler, D. C. L., Cheng, F., Shathili, A. M., & Haynes, P. A. (2020). PeptideWitch-A software package to produce high-stringency proteomics data visualizations from label-free shotgun proteomics data. Proteomes, 8(3). https://doi.org/10.3390/PROTEOMES8030021
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