4.7 Article

COSS: A Fast and User-Friendly Tool for Spectral Library Searching

期刊

JOURNAL OF PROTEOME RESEARCH
卷 19, 期 7, 页码 2786-2793

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.9b00743

关键词

tandem mass spectrometry; peptide identification; spectral library searching

资金

  1. National Institute of Health (NIH) [NCI-ITCR] [1U24CA199347]
  2. Research Foundation -Flanders (FWO) [3E023815, 1S50918N, G042518N]
  3. Horizon 2020 programme of European Union project EPIC-XS [823839]
  4. Kom op tegen Kanker (Stand up to Cancer)
  5. Flemish cancer society

向作者/读者索取更多资源

Spectral similarity searching to identify peptide-derived MS/MS spectra is a promising technique, and different spectrum similarity search tools have therefore been developed. Each of these tools, however, comes with some limitations, mainly because of low processing speed and issues with handling large databases. Furthermore, the number of spectral data formats supported is typically limited, which also creates a threshold to adoption. We have therefore developed COSS (CompOmics Spectral Searching), a new and user-friendly spectral library search tool supporting two scoring functions. COSS also includes decoy spectra generation for result validation. We have benchmarked COSS on three different spectral libraries and compared the results with established spectral searching tools and a sequence database search tool. Our comparison showed that COSS more reliably identifies spectra, is capable of handling large data sets and libraries, and is an easy to use tool that can run on low computer specifications. COSS binaries and source code can be freely downloaded from https://github.com/compomics/COSS.

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