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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom