LabPipe: an extensible informatics platform to streamline management of metabolomics data and metadata
Bo Zhao, Luke Bryant, Michael Wilde, Rebecca Cordell, Dahlia Salman,, Dorota Ruszkiewicz, Wadah Ibrahim, Amisha Singapuri, Tim Coats, Erol, Gaillard, Caroline Beardsmore, Toru Suzuki, Leong Ng, Neil Greening, Paul, Thomas, Paul S. Monks, Christopher Brightling, Salman Siddiqui
TL;DR
LabPipe is an open-source, customizable platform designed to improve data and metadata management in clinical metabolomics studies, supporting multi-site sampling and study-specific workflows.
Contribution
It introduces a flexible, guided system for sample collection and data management, integrating local and remote components for clinical metabolomics research.
Findings
Supports multiple sampling approaches across sites
Enhances data management for clinical metabolomics
Available as open-source software
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: [email protected]
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Taxonomy
TopicsMetabolomics and Mass Spectrometry Studies · Biomedical Text Mining and Ontologies · Environmental Monitoring and Data Management