MSnbase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation
- PMID: 22113085
- DOI: 10.1093/bioinformatics/btr645
MSnbase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation
Abstract
MSnbase is an R/Bioconductor package for the analysis of quantitative proteomics experiments that use isobaric tagging. It provides an exploratory data analysis framework for reproducible research, allowing raw data import, quality control, visualization, data processing and quantitation. MSnbase allows direct integration of quantitative proteomics data with additional facilities for statistical analysis provided by the Bioconductor project.
Availability: MSnbase is implemented in R (version ≥ 2.13.0) and available at the Bioconductor web site (http://www.bioconductor.org/). Vignettes outlining typical workflows, input/output capabilities and detailing underlying infrastructure are included in the package.
Similar articles
-
MSnbase, Efficient and Elegant R-Based Processing and Visualization of Raw Mass Spectrometry Data.J Proteome Res. 2021 Jan 1;20(1):1063-1069. doi: 10.1021/acs.jproteome.0c00313. Epub 2020 Sep 28. J Proteome Res. 2021. PMID: 32902283
-
MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments.Bioinformatics. 2014 Sep 1;30(17):2524-6. doi: 10.1093/bioinformatics/btu305. Epub 2014 May 2. Bioinformatics. 2014. PMID: 24794931
-
VariantAnnotation: a Bioconductor package for exploration and annotation of genetic variants.Bioinformatics. 2014 Jul 15;30(14):2076-8. doi: 10.1093/bioinformatics/btu168. Epub 2014 Mar 28. Bioinformatics. 2014. PMID: 24681907 Free PMC article.
-
Visualization of proteomics data using R and bioconductor.Proteomics. 2015 Apr;15(8):1375-89. doi: 10.1002/pmic.201400392. Proteomics. 2015. PMID: 25690415 Free PMC article. Review.
-
Using R and Bioconductor for proteomics data analysis.Biochim Biophys Acta. 2014 Jan;1844(1 Pt A):42-51. doi: 10.1016/j.bbapap.2013.04.032. Epub 2013 May 18. Biochim Biophys Acta. 2014. PMID: 23692960 Review.
Cited by
-
Pseudo-RNA-Binding Domains Mediate RNA Structure Specificity in Upstream of N-Ras.Cell Rep. 2020 Jul 21;32(3):107930. doi: 10.1016/j.celrep.2020.107930. Cell Rep. 2020. PMID: 32697992 Free PMC article.
-
Chemical Derivatization of Affinity Matrices Provides Protection from Tryptic Proteolysis.J Proteome Res. 2019 Oct 4;18(10):3586-3596. doi: 10.1021/acs.jproteome.9b00254. Epub 2019 Sep 20. J Proteome Res. 2019. PMID: 31498634 Free PMC article.
-
Robust Summarization and Inference in Proteome-wide Label-free Quantification.Mol Cell Proteomics. 2020 Jul;19(7):1209-1219. doi: 10.1074/mcp.RA119.001624. Epub 2020 Apr 22. Mol Cell Proteomics. 2020. PMID: 32321741 Free PMC article.
-
Identification of presented SARS-CoV-2 HLA class I and HLA class II peptides using HLA peptidomics.Cell Rep. 2021 Jun 29;35(13):109305. doi: 10.1016/j.celrep.2021.109305. Epub 2021 Jun 8. Cell Rep. 2021. PMID: 34166618 Free PMC article.
-
POMAShiny: A user-friendly web-based workflow for metabolomics and proteomics data analysis.PLoS Comput Biol. 2021 Jul 1;17(7):e1009148. doi: 10.1371/journal.pcbi.1009148. eCollection 2021 Jul. PLoS Comput Biol. 2021. PMID: 34197462 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases