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TopPIC: a software tool for top-down mass spectrometry-based proteoform identification and characterization
Author(s) -
Qiang Kou,
Likun Xun,
Xiaowen Liu
Publication year - 2016
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btw398
Subject(s) - computer science , top down proteomics , tandem mass spectrometry , proteomics , mass spectrometry , proteome , identification (biology) , computational biology , software , bioinformatics , data mining , chemistry , protein mass spectrometry , biology , programming language , chromatography , biochemistry , botany , gene
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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