<i>pmartR 2.0</i>: A Quality Control, Visualization, and Statistics Pipeline for Multiple Omics Datatypes-Reference-Cited by-同舟云学术

pmartR 2.0: A Quality Control, Visualization, and Statistics Pipeline for Multiple Omics Datatypes

Published:2023-01-09 Issue:2 Volume:22 Page:570-576
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Degnan David J.^ORCID,Stratton Kelly G.^ORCID,Richardson Rachel,Claborne Daniel^ORCID,Martin Evan A.^ORCID,Johnson Nathan A.,Leach Damon,Webb-Robertson Bobbie-Jo M.^ORCID,Bramer Lisa M.^ORCID

Funder

Environmental Molecular Sciences Laboratory

U.S. Department of Energy

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.2c00610

Reference22 articles.

1. Sources of Technical Variability in Quantitative LC–MS Proteomics: Human Brain Tissue Sample Analysis

2. pmartR: Quality Control and Statistics for Mass Spectrometry-Based Biological Data

3. A statistical selection strategy for normalization procedures in LC-MS proteomics experiments through dataset-dependent ranking of normalization scaling factors

4. Combined Statistical Analyses of Peptide Intensities and Peptide Occurrences Improves Identification of Significant Peptides from MS-Based Proteomics Data

5. Hafen, R.; Schloerke, B. trelliscopejs: Creative Interactive Trelliscope Displays. R package version 0.2.6, 2021. https://CRAN.R-project.org/package=trelliscopejs (accessed 2022-10-31).

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