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
- National Institute of Health (NIH) [NCI-ITCR] [1U24CA199347]
- Research Foundation -Flanders (FWO) [3E023815, 1S50918N, G042518N]
- Horizon 2020 programme of European Union project EPIC-XS [823839]
- Kom op tegen Kanker (Stand up to Cancer)
- Flemish cancer society
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据