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

Autor:	Zhao, Bo, Bryant, Luke, Wilde, Michael, Cordell, Rebecca, Salman, Dahlia, Ruszkiewicz, Dorota, Ibrahim, Wadah, Singapuri, Amisha, Coats, Tim, Gaillard, Erol, Beardsmore, Caroline, Suzuki, Toru, Ng, Leong, Greening, Neil, Thomas, Paul, Monks, Paul S., Brightling, Christopher, Siddiqui, Salman, Free, Robert C.
Rok vydání:	2019
Předmět:	Computer Science - Computational Engineering Finance and Science
Druh dokumentu:	Working Paper
Popis:	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 Comment: 3 pages, 1 figure
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1910.13246 Zobrazit plný text záznamu View this record from Arxiv