RT Journal Article
SR Electronic
T1 Repository-scale Co- and Re-analysis of Tandem Mass Spectrometry Data
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 750471
DO 10.1101/750471
A1 Alan K. Jarmusch
A1 Mingxun Wang
A1 Christine M. Aceves
A1 Rohit S. Advani
A1 Shaden Aguire
A1 Alexander A. Aksenov
A1 Gajender Aleti
A1 Allegra T. Aron
A1 Anelize Bauermeister
A1 Sanjana Bolleddu
A1 Amina Bouslimani
A1 Andres Mauricio Caraballo Rodriguez
A1 Rama Chaar
A1 Roxana Coras
A1 Emmanuel O. Elijah
A1 Madeleine Ernst
A1 Julia M. Gauglitz
A1 Emily C. Gentry
A1 Makhai Husband
A1 Scott A. Jarmusch
A1 Kenneth L. Jones II
A1 Zdenek Kamenik
A1 Audrey Le Gouellec
A1 Aileen Lu
A1 Laura-Isobel McCall
A1 Kerry L. McPhail
A1 Michael J. Meehan
A1 Alexey V. Melnik
A1 Riya C. Menezes
A1 Yessica Alejandra Montoya Giraldo
A1 Ngoc Hung Nguyen
A1 Louis Felix Nothias
A1 Mélissa Nothias-Esposito
A1 Morgan Panitchpakdi
A1 Daniel Petras
A1 Robert Quinn
A1 Nicole Sikora
A1 Justin J.J. van der Hooft
A1 Fernando Vargas
A1 Alison Vrbanac
A1 Kelly Weldon
A1 Rob Knight
A1 Nuno Bandeira
A1 Pieter C. Dorrestein
YR 2019
UL http://biorxiv.org/content/early/2019/08/29/750471.abstract
AB Metabolomics data are difficult to find and reuse, even in public repositories. We, therefore, developed the Reanalysis of Data User (ReDU) interface (https://redu.ucsd.edu/), a community- and data-driven approach that solves this problem at the repository scale. ReDU enables public data discovery and co- or re-analysis via uniformly formatted, publicly available MS/MS data and metadata in the Global Natural Product Social Molecular Networking Platform (GNPS), consistent with findable, accessible, interoperable, and reusable (FAIR) principles.1