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sapFinder: an R/Bioconductor package for detection of variant peptides in shotgun proteomics experiments
Author(s) -
Bo Wen,
Shaohang Xu,
Gloria Sheynkman,
Qiang Feng,
Liang Lin,
Quanhui Wang,
Xun Xu,
Jun Wang,
Siqi Liu
Publication year - 2014
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/btu397
Subject(s) - bioconductor , r package , computer science , proteomics , shotgun proteomics , computational biology , software package , software , identification (biology) , data mining , biology , programming language , genetics , gene , botany
Single nucleotide variations (SNVs) located within a reading frame can result in single amino acid polymorphisms (SAPs), leading to alteration of the corresponding amino acid sequence as well as function of a protein. Accurate detection of SAPs is an important issue in proteomic analysis at the experimental and bioinformatic level. Herein, we present sapFinder, an R software package, for detection of the variant peptides based on tandem mass spectrometry (MS/MS)-based proteomics data. This package automates the construction of variation-associated databases from public SNV repositories or sample-specific next-generation sequencing (NGS) data and the identification of SAPs through database searching, post-processing and generation of HTML-based report with visualized interface.

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