Xolik: finding cross-linked peptides with maximum paired scores in linear time
About Xolik |
Identifying cross-linked peptides requires huge computing resources to exhaustively search all pairwise combinations of peptides in a large database. Commonly used heuristic screening strategies reduce the number of candidate pairs during the identification. However, heuristic screening strategies may miss true findings. We propose a novel linear-time algorithm to exhaustively search all peptide pairs within an acceptable period of time.
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Related Publication |
J. Dai*, W. Jiang*, F. Yu* and W. Yu. *These authors contributed equally to this work.
"Xolik: finding cross-linked peptides with maximum paired scores in linear time", Bioinformatics, 35(2): 251-257, 2018. |
Where to download Xolik |
The source code and binaries are available at: (updated Apr. 20, 2018)
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Environment configuration |
Please install Python 2.7 and pandas for separately controlling FDR on intra/inter-protein PSMs. |
How to use it? |
To run Xolik, please use the following commands.
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Test data |
Please redirect to MXDB for the synthetic disulfide-bridged dataset for testing purpose.
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