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P-Mart: Interactive Analysis of Ion Abundance Global Proteomics Data.


ABSTRACT: The use of mass-spectrometry-based techniques for global protein profiling of biomedical or environmental experiments has become a major focus in research centered on biomarker discovery; however, one of the most important issues recently highlighted in the new era of omics data generation is the ability to perform analyses in a robust and reproducible manner. This has been hypothesized to be one of the issues hindering the ability of clinical proteomics to successfully identify clinical diagnostic and prognostic biomarkers of disease. P-Mart ( https://pmart.labworks.org ) is a new interactive web-based software environment that enables domain scientists to perform quality-control processing, statistics, and exploration of large-complex proteomics data sets without requiring statistical programming. P-Mart is developed in a manner that allows researchers to perform analyses via a series of modules, explore the results using interactive visualization, and finalize the analyses with a collection of output files documenting all stages of the analysis and a report to allow reproduction of the analysis.

SUBMITTER: Bramer LM 

PROVIDER: S-EPMC7032029 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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P-Mart: Interactive Analysis of Ion Abundance Global Proteomics Data.

Bramer Lisa M LM   Stratton Kelly G KG   White Amanda M AM   Bleeker Ameila H AH   Kobold Markus A MA   Waters Katrina M KM   Metz Thomas O TO   Rodland Karin D KD   Webb-Robertson Bobbie-Jo M BM  

Journal of proteome research 20190206 3


The use of mass-spectrometry-based techniques for global protein profiling of biomedical or environmental experiments has become a major focus in research centered on biomarker discovery; however, one of the most important issues recently highlighted in the new era of omics data generation is the ability to perform analyses in a robust and reproducible manner. This has been hypothesized to be one of the issues hindering the ability of clinical proteomics to successfully identify clinical diagnos  ...[more]

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