MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at Scale
出版年份 2023 全文链接
标题
MSstats Version 4.0: Statistical Analyses of Quantitative Mass Spectrometry-Based Proteomic Experiments with Chromatography-Based Quantification at Scale
作者
关键词
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出版物
Journal of Proteome Research
Volume 22, Issue 5, Pages 1466-1482
出版商
American Chemical Society (ACS)
发表日期
2023-04-06
DOI
10.1021/acs.jproteome.2c00834
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- MSstatsShiny: A GUI for Versatile, Scalable, and Reproducible Statistical Analyses of Quantitative Proteomic Experiments
- (2023) Devon Kohler et al. Journal of Proteome Research
- MSstatsPTM: Statistical Relative Quantification of Posttranslational Modifications in Bottom-Up Mass Spectrometry-Based Proteomics
- (2022) Devon Kohler et al. MOLECULAR & CELLULAR PROTEOMICS
- MSqRob Takes the Missing Hurdle: Uniting Intensity- and Count-Based Proteomics
- (2020) Ludger J. E. Goeminne et al. ANALYTICAL CHEMISTRY
- Robust summarization and inference in proteome-wide label-free quantification
- (2020) Adriaan Sticker et al. MOLECULAR & CELLULAR PROTEOMICS
- DEqMS: A Method for Accurate Variance Estimation in Differential Protein Expression Analysis
- (2020) Yafeng Zhu et al. MOLECULAR & CELLULAR PROTEOMICS
- Data‐Independent Acquisition Mass Spectrometry‐Based Proteomics and Software Tools: A Glimpse in 2020
- (2020) Fangfei Zhang et al. PROTEOMICS
- MSstatsTMT: Statistical detection of differentially abundant proteins in experiments with isobaric labeling and multiple mixtures
- (2020) Ting Huang et al. MOLECULAR & CELLULAR PROTEOMICS
- pmartR: Quality Control and Statistics for Mass Spectrometry-based Biological Data
- (2019) Kelly G. Stratton et al. JOURNAL OF PROTEOME RESEARCH
- DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput
- (2019) Vadim Demichev et al. NATURE METHODS
- The ProteomeXchange consortium in 2020: enabling ‘big data’ approaches in proteomics
- (2019) Eric W Deutsch et al. NUCLEIC ACIDS RESEARCH
- ABRF Proteome Informatics Research Group (iPRG) 2015 Study: Detection of Differentially Abundant Proteins in Label-Free Quantitative LC–MS/MS Experiments
- (2017) Meena Choi et al. JOURNAL OF PROTEOME RESEARCH
- MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry–based proteomics
- (2017) Andy T Kong et al. NATURE METHODS
- Mass Spectrometry Applied to Bottom-Up Proteomics: Entering the High-Throughput Era for Hypothesis Testing
- (2016) Ludovic C. Gillet et al. Annual Review of Analytical Chemistry
- DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
- (2016) Samuel Wieczorek et al. BIOINFORMATICS
- Ataxin-2 (Atxn2)-Knock-Out Mice Show Branched Chain Amino Acids and Fatty Acids Pathway Alterations
- (2016) David Meierhofer et al. MOLECULAR & CELLULAR PROTEOMICS
- A multicenter study benchmarks software tools for label-free proteome quantification
- (2016) Pedro Navarro et al. NATURE BIOTECHNOLOGY
- OpenMS: a flexible open-source software platform for mass spectrometry data analysis
- (2016) Hannes L Röst et al. NATURE METHODS
- The MaxQuant computational platform for mass spectrometry-based shotgun proteomics
- (2016) Stefka Tyanova et al. Nature Protocols
- Reproducible and Consistent Quantification of theSaccharomyces cerevisiaeProteome by SWATH-mass spectrometry
- (2015) Nathalie Selevsek et al. MOLECULAR & CELLULAR PROTEOMICS
- Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent Quantitative Label-free Shotgun Proteomics
- (2015) Ludger J. E. Goeminne et al. MOLECULAR & CELLULAR PROTEOMICS
- Extending the Limits of Quantitative Proteome Profiling with Data-Independent Acquisition and Application to Acetaminophen-Treated Three-Dimensional Liver Microtissues
- (2015) Roland Bruderer et al. MOLECULAR & CELLULAR PROTEOMICS
- DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics
- (2015) Chih-Chiang Tsou et al. NATURE METHODS
- limma powers differential expression analyses for RNA-sequencing and microarray studies
- (2015) Matthew E. Ritchie et al. NUCLEIC ACIDS RESEARCH
- Rcpp: SeamlessRandC++Integration
- (2015) Dirk Eddelbuettel et al. Journal of Statistical Software
- Influence of the Digestion Technique, Protease, and Missed Cleavage Peptides in Protein Quantitation
- (2014) Cristina Chiva et al. JOURNAL OF PROTEOME RESEARCH
- OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data
- (2014) Hannes L Röst et al. NATURE BIOTECHNOLOGY
- Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs
- (2012) Timothy Clough et al. BMC BIOINFORMATICS
- Bioinformatics Tools for Mass Spectrometry-Based High-Throughput Quantitative Proteomics Platforms
- (2012) Alexey V. Nefedov et al. Current Proteomics
- Tools for Label-free Peptide Quantification
- (2012) Sven Nahnsen et al. MOLECULAR & CELLULAR PROTEOMICS
- Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
- (2010) Brendan MacLean et al. BIOINFORMATICS
- Statistical Design of Quantitative Mass Spectrometry-Based Proteomic Experiments
- (2009) Ann L. Oberg et al. JOURNAL OF PROTEOME RESEARCH
- DESIGN AND ANALYSIS OF QUANTITATIVE DIFFERENTIAL PROTEOMICS INVESTIGATIONS USING LC-MS TECHNOLOGY
- (2008) YURY V. BUKHMAN et al. Journal of Bioinformatics and Computational Biology
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