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

Journal Article · · Journal of Proteome Research
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  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Computing & Analytics Division
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Biological Sciences Division
  3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Biological Sciences Division; Oregon Health & Science Univ., Portland, OR (United States). Dept. of Cell, Developmental, and Cancer Biology
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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 an 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.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23); National Inst. of Health (NIH) (United States)
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1509855
Report Number(s):
PNNL-SA--140572
Journal Information:
Journal of Proteome Research, Journal Name: Journal of Proteome Research Journal Issue: 3 Vol. 18; ISSN 1535-3893
Publisher:
American Chemical Society (ACS)Copyright Statement
Country of Publication:
United States
Language:
English

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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
97 MATHEMATICS AND COMPUTING
exploratory data analysis
proteomics
reproducibility
software
statistics
visualization
web service