학술논문
ReDU: a framework to find and reanalyze public mass spectrometry data
Document Type
article
Author
Jarmusch, Alan K; Wang, Mingxun; Aceves, Christine M; Advani, Rohit S; Aguirre, Shaden; Aksenov, Alexander A; Aleti, Gajender; Aron, Allegra T; Bauermeister, Anelize; Bolleddu, Sanjana; Bouslimani, Amina; Caraballo Rodriguez, Andres Mauricio; Chaar, Rama; Coras, Roxana; Elijah, Emmanuel O; Ernst, Madeleine; Gauglitz, Julia M; Gentry, Emily C; Husband, Makhai; Jarmusch, Scott A; Jones, Kenneth L; Kamenik, Zdenek; Le Gouellec, Audrey; Lu, Aileen; McCall, Laura-Isobel; McPhail, Kerry L; Meehan, Michael J; Melnik, Alexey V; Menezes, Riya C; Montoya Giraldo, Yessica Alejandra; Nguyen, Ngoc Hung; Nothias, Louis Felix; Nothias-Esposito, Mélissa; Panitchpakdi, Morgan; Petras, Daniel; Quinn, Robert A; Sikora, Nicole; van der Hooft, Justin JJ; Vargas, Fernando; Vrbanac, Alison; Weldon, Kelly C; Knight, Rob; Bandeira, Nuno; Dorrestein, Pieter C
Source
Nature Methods. 17(9)
Subject
Language
Abstract
We present ReDU ( https://redu.ucsd.edu/ ), a system for metadata capture of public mass spectrometry-based metabolomics data, with validated controlled vocabularies. Systematic capture of knowledge enables the reanalysis of public data and/or co-analysis of one's own data. ReDU enables multiple types of analyses, including finding chemicals and associated metadata, comparing the shared and different chemicals between groups of samples, and metadata-filtered, repository-scale molecular networking.