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LabPipe: an extensible informatics platform to streamline management of metabolomics data and metadata

Authors :
Amisha Singapuri
Bo Zhao
Caroline Beardsmore
Christopher Brightling
Dahlia Salman
Dorota Ruszkiewicz
Erol Gaillard
Leong Ng
Luke Bryant
Michael Wilde
Neil Greening
Monks, Paul S.
Paul Thomas
Rebecca Lynne Cordell
Free, Robert C.
Salman Siddiqui
Tim Coats
Toru Suzuki
Wadah Ibrahim
Source :
Web of Science
Publication Year :
2019
Publisher :
arXiv, 2019.

Abstract

Summary: Data management in clinical metabolomics studies is often inadequate. To improve this situation we created LabPipe to provide a guided, customisable approach to study-specific sample collection. It is driven through a local client which manages the process and pushes local data to a remote server through an access controlled web API. The platform is able to support data management for different sampling approaches across multiple sites / studies and is now an essential study management component for supporting clinical metabolomics locally at the EPSRC/MRC funded East Midlands Breathomics Pathology Node. Availability and Implementation: LabPipe is freely available to download under a non-commercial open-source license (NPOSL 3.0) along with documentation and installation instructions at http://labpipe.org. Contact: rob.free@le.ac.uk<br />Comment: 3 pages, 1 figure

Details

Database :
OpenAIRE
Journal :
Web of Science
Accession number :
edsair.doi.dedup.....e0150983db6475a82a3a074c6178de23
Full Text :
https://doi.org/10.48550/arxiv.1910.13246