| Autor: |
David C. L. Handler, Flora Cheng, Abdulrahman M. Shathili, Paul A. Haynes |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Proteomes, Vol 8, Iss 3, p 21 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2227-7382 |
| DOI: |
10.3390/proteomes8030021 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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