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: [email protected]
@article{arxiv.1910.13246,
title = {LabPipe: an extensible informatics platform to streamline management of metabolomics data and metadata},
author = {Bo Zhao and Luke Bryant and Michael Wilde and Rebecca Cordell and Dahlia Salman and Dorota Ruszkiewicz and Wadah Ibrahim and Amisha Singapuri and Tim Coats and Erol Gaillard and Caroline Beardsmore and Toru Suzuki and Leong Ng and Neil Greening and Paul Thomas and Paul S. Monks and Christopher Brightling and Salman Siddiqui and Robert C. Free},
journal= {arXiv preprint arXiv:1910.13246},
year = {2019}
}