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

Bioinformatics

Volumn 30, Issue 17, 2014, Pages 2524-2526

  Choi, Meena ^a   Chang, Ching Yun ^a   Clough, Timothy ^a   Broudy, Daniel ^b   Killeen, Trevor ^b   MacLean, Brendan ^b   Vitek, Olga ^a,c  

^a PURDUE UNIVERSITY   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c Purdue University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PEPTIDE; PROTEIN;

CHEMISTRY; COMPUTER PROGRAM; MASS SPECTROMETRY; PROCEDURES; PROTEOMICS; STATISTICAL ANALYSIS;

DATA INTERPRETATION, STATISTICAL; MASS SPECTROMETRY; PEPTIDES; PROTEINS; PROTEOMICS; SOFTWARE;

EID: 84907033616     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btu305     Document Type: Article

References (6)

1. Broudy, D. et al. (2014) A framework for installable external tools in Skyline. Bioinformatics, 30, 2521-2523.
2. Chang, C. et al. (2012) Protein significance analysis in selected reaction monitoring (SRM) measurements. Mol. Cell. Proteomics, 11, M111.014662.
3. Clough, T. et al. (2012) Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs. BMC Bioinformatics, 13 (Suppl. 16), S6.
4. Gatto, L. and Lilley, K.S. (2012) MSnBase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation. Bioinformatics, 28, 288-289.
5. Käll, L. and Vitek, O. (2011) Computational mass spectrometry-based proteomics. PLoS Comput. Biol., 7, e1002277.
6. Surinova, S. et al. (2013) Automated selected reaction monitoring data analysis workflow for large-scale targeted proteomic studies. Nat. Protoc., 8, 1602-1619.