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P-Mart

RESOURCE

Project Landing Page
https://pmart.labworks.org/index.html
https://doi.org/10.11578/dc.20210521.100

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Abstract

P-Mart was designed specifically to allow cancer researchers to perform robust statistical processing of publicly available cancer proteomic datasets. To date an online statistical processing suite for proteomics does not exist. The P-Mart software is designed to allow statistical programmers to utilize these algorithms through packages in the R programming language as well as offering a web-based interface using the Azure cloud technology. The Azure cloud technology also allows the release of the software via Docker containers.
Release Date:
2016-10-07
Project Type:
Open Source, No Publicly Available Repository
Software Type:
Scientific
Programming Languages:
Java
Licenses:
Other (Commercial or Open-Source): https://pmart.labworks.org/index.html
Sponsoring Org.:
Code ID:
57314
Site Accession Number:
7186; IPID 31010-E
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Country of Origin:
United States

RESOURCE

Project Landing Page
https://pmart.labworks.org/index.html
https://doi.org/10.11578/dc.20210521.100

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PNNL Badge

Citation Formats

P-Mart. Computer Software. USDOE. 07 Oct. 2016. Web. doi:10.11578/dc.20210521.100.
(2016, October 07). P-Mart. [Computer software]. https://doi.org/10.11578/dc.20210521.100.
"P-Mart." Computer software. October 07, 2016. https://doi.org/10.11578/dc.20210521.100.
@misc{ doecode_57314,
title = {P-Mart},
author = ,
abstractNote = {P-Mart was designed specifically to allow cancer researchers to perform robust statistical processing of publicly available cancer proteomic datasets. To date an online statistical processing suite for proteomics does not exist. The P-Mart software is designed to allow statistical programmers to utilize these algorithms through packages in the R programming language as well as offering a web-based interface using the Azure cloud technology. The Azure cloud technology also allows the release of the software via Docker containers.},
doi = {10.11578/dc.20210521.100},
url = {https://doi.org/10.11578/dc.20210521.100},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20210521.100}},
year = {2016},
month = {oct}
}