MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments

被引：703

作者：

Choi, Meena ^{[1
]}

Chang, Ching-Yun ^{[1
]}

Clough, Timothy ^{[1
]}

Broudy, Daniel ^{[2
]}

Killeen, Trevor ^{[2
]}

MacLean, Brendan ^{[2
]}

Vitek, Olga ^{[1
,3
]}

机构：

[1] Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA

[2] Univ Washington, Dept Genome Sci, Seattle, WA 98195 USA

[3] Purdue Univ, Dept Comp Sci, W Lafayette, IN 47907 USA

来源：

BIOINFORMATICS | 2014年 / 30卷 / 17期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1093/bioinformatics/btu305

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

A Summary: MSstats is an R package for statistical relative quantification of proteins and peptides in mass spectrometry-based proteomics. Version 2.0 of MSstats supports label-free and label-based experimental workflows and data-dependent, targeted and data-independent spectral acquisition. It takes as input identified and quantified spectral peaks, and outputs a list of differentially abundant peptides or proteins, or summaries of peptide or protein relative abundance. MSstats relies on a flexible family of linear mixed models.

引用

页码：2524 / 2526

页数：3

共 6 条

[1] A framework for installable external tools in Skyline [J].