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Title: P-MartCancer–Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets

Abstract

P-MartCancer is a new interactive web-based software environment that enables biomedical and biological scientists to perform in-depth analyses of global proteomics data without requiring direct interaction with the data or with statistical software. P-MartCancer offers a series of statistical modules associated with quality assessment, peptide and protein statistics, protein quantification and exploratory data analyses driven by the user via customized workflows and interactive visualization. Currently, P-MartCancer offers access to multiple cancer proteomic datasets generated through the Clinical Proteomics Tumor Analysis Consortium (CPTAC) at the peptide, gene and protein levels. P-MartCancer is deployed using Azure technologies (http://pmart.labworks.org/cptac.html), the web-service is alternatively available via Docker Hub (https://hub.docker.com/r/pnnl/pmart-web/) and many statistical functions can be utilized directly from an R package available on GitHub (https://github.com/pmartR).

Authors:
; ; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1414547
Report Number(s):
PNNL-SA-123730
Journal ID: ISSN 0008-5472; 453040220
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: Cancer Research; Journal Volume: 77; Journal Issue: 21
Country of Publication:
United States
Language:
English

Citation Formats

Webb-Robertson, Bobbie-Jo M., Bramer, Lisa M., Jensen, Jeffrey L., Kobold, Markus A., Stratton, Kelly G., White, Amanda M., and Rodland, Karin D. P-MartCancer–Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets. United States: N. p., 2017. Web. doi:10.1158/0008-5472.CAN-17-0335.
Webb-Robertson, Bobbie-Jo M., Bramer, Lisa M., Jensen, Jeffrey L., Kobold, Markus A., Stratton, Kelly G., White, Amanda M., & Rodland, Karin D. P-MartCancer–Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets. United States. doi:10.1158/0008-5472.CAN-17-0335.
Webb-Robertson, Bobbie-Jo M., Bramer, Lisa M., Jensen, Jeffrey L., Kobold, Markus A., Stratton, Kelly G., White, Amanda M., and Rodland, Karin D. Tue . "P-MartCancer–Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets". United States. doi:10.1158/0008-5472.CAN-17-0335.
@article{osti_1414547,
title = {P-MartCancer–Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets},
author = {Webb-Robertson, Bobbie-Jo M. and Bramer, Lisa M. and Jensen, Jeffrey L. and Kobold, Markus A. and Stratton, Kelly G. and White, Amanda M. and Rodland, Karin D.},
abstractNote = {P-MartCancer is a new interactive web-based software environment that enables biomedical and biological scientists to perform in-depth analyses of global proteomics data without requiring direct interaction with the data or with statistical software. P-MartCancer offers a series of statistical modules associated with quality assessment, peptide and protein statistics, protein quantification and exploratory data analyses driven by the user via customized workflows and interactive visualization. Currently, P-MartCancer offers access to multiple cancer proteomic datasets generated through the Clinical Proteomics Tumor Analysis Consortium (CPTAC) at the peptide, gene and protein levels. P-MartCancer is deployed using Azure technologies (http://pmart.labworks.org/cptac.html), the web-service is alternatively available via Docker Hub (https://hub.docker.com/r/pnnl/pmart-web/) and many statistical functions can be utilized directly from an R package available on GitHub (https://github.com/pmartR).},
doi = {10.1158/0008-5472.CAN-17-0335},
journal = {Cancer Research},
number = 21,
volume = 77,
place = {United States},
year = {Tue Oct 31 00:00:00 EDT 2017},
month = {Tue Oct 31 00:00:00 EDT 2017}
}