期刊
BIOINFORMATICS
卷 32, 期 22, 页码 3495-3497出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw398
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- National Institute of General Medical Sciences, National Institutes of Health (NIH) [R01GM118470]
Top-down mass spectrometry enables the observation of whole complex proteoforms in biological samples and provides crucial information complementary to bottom-up mass spectrometry. Because of the complexity of top-down mass spectra and proteoforms, it is a challenging problem to efficiently interpret top-down tandem mass spectra in high-throughput proteome-level proteomics studies. We present TopPIC, a tool that efficiently identifies and characterizes complex proteoforms with unknown primary structure alterations, such as amino acid mutations and post-translational modifications, by searching top-down tandem mass spectra against a protein database.
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