Xolik: finding cross-linked peptides with maximum paired scores in linear time
Author(s) -
Jiaan Dai,
Wei Jiang,
Fengchao Yu,
Weichuan Yu
Publication year - 2018
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/bty526
Subject(s) - computer science , pairwise comparison , heuristic , time complexity , queue , data mining , identification (biology) , quadratic equation , source code , code (set theory) , algorithm , artificial intelligence , mathematics , botany , geometry , biology , programming language , operating system , set (abstract data type)
Cross-linking technique coupled with mass spectrometry (MS) is widely used in the analysis of protein structures and protein-protein interactions. In order to identify cross-linked peptides from MS data, we need to consider all pairwise combinations of peptides, which is computationally prohibitive when the sequence database is large. To alleviate this problem, some heuristic screening strategies are used to reduce the number of peptide pairs during the identification. However, heuristic screening strategies may miss some true cross-linked peptides.
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