Literature DB >> 27010336

MetaboLights: An Open-Access Database Repository for Metabolomics Data.

Namrata S Kale1, Kenneth Haug1, Pablo Conesa1, Kalaivani Jayseelan1, Pablo Moreno1, Philippe Rocca-Serra2, Venkata Chandrasekhar Nainala1, Rachel A Spicer1, Mark Williams1, Xuefei Li3, Reza M Salek1, Julian L Griffin3, Christoph Steinbeck1.   

Abstract

MetaboLights is the first general purpose, open-access database repository for cross-platform and cross-species metabolomics research at the European Bioinformatics Institute (EMBL-EBI). Based upon the open-source ISA framework, MetaboLights provides Metabolomics Standard Initiative (MSI) compliant metadata and raw experimental data associated with metabolomics experiments. Users can upload their study datasets into the MetaboLights Repository. These studies are then automatically assigned a stable and unique identifier (e.g., MTBLS1) that can be used for publication reference. The MetaboLights Reference Layer associates metabolites with metabolomics studies in the archive and is extensively annotated with data fields such as structural and chemical information, NMR and MS spectra, target species, metabolic pathways, and reactions. The database is manually curated with no specific release schedules. MetaboLights is also recommended by journals for metabolomics data deposition. This unit provides a guide to using MetaboLights, downloading experimental data, and depositing metabolomics datasets using user-friendly submission tools.
Copyright © 2016 John Wiley & Sons, Inc.

Keywords:  cross-platform; cross-species; metabolites; metabolomics; metadata; open-access; raw data

Mesh:

Year:  2016        PMID: 27010336     DOI: 10.1002/0471250953.bi1413s53

Source DB:  PubMed          Journal:  Curr Protoc Bioinformatics        ISSN: 1934-3396


  43 in total

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2.  DES-Mutation: System for Exploring Links of Mutations and Diseases.

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Journal:  Sci Rep       Date:  2018-09-06       Impact factor: 4.379

3.  Inferring Metabolic Mechanisms of Interaction within a Defined Gut Microbiota.

Authors:  Gregory L Medlock; Maureen A Carey; Dennis G McDuffie; Michael B Mundy; Natasa Giallourou; Jonathan R Swann; Glynis L Kolling; Jason A Papin
Journal:  Cell Syst       Date:  2018-09-05       Impact factor: 10.304

4.  Perspectives on Data Analysis in Metabolomics: Points of Agreement and Disagreement from the 2018 ASMS Fall Workshop.

Authors:  Erin S Baker; Gary J Patti
Journal:  J Am Soc Mass Spectrom       Date:  2019-08-22       Impact factor: 3.109

Review 5.  Increasing rigor in NMR-based metabolomics through validated and open source tools.

Authors:  Hamid R Eghbalnia; Pedro R Romero; William M Westler; Kumaran Baskaran; Eldon L Ulrich; John L Markley
Journal:  Curr Opin Biotechnol       Date:  2016-09-16       Impact factor: 9.740

6.  Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence.

Authors:  Theodore Alexandrov
Journal:  Annu Rev Biomed Data Sci       Date:  2020-04-13

7.  Balancing sufficiency and impact in reporting standards for mass spectrometry imaging experiments.

Authors:  Ove J R Gustafsson; Lyron J Winderbaum; Mark R Condina; Berin A Boughton; Brett R Hamilton; Eivind A B Undheim; Michael Becker; Peter Hoffmann
Journal:  Gigascience       Date:  2018-10-01       Impact factor: 6.524

8.  De novo structure determination of 3-((3-aminopropyl)amino)-4-hydroxybenzoic acid, a novel and abundant metabolite in Acinetobacter baylyi ADP1.

Authors:  Marion Thomas; Lucille Stuani; Ekaterina Darii; Christophe Lechaplais; Emilie Pateau; Jean-Claude Tabet; Marcel Salanoubat; Pierre-Loïc Saaidi; Alain Perret
Journal:  Metabolomics       Date:  2019-03-14       Impact factor: 4.290

Review 9.  Molecular Probes, Chemosensors, and Nanosensors for Optical Detection of Biorelevant Molecules and Ions in Aqueous Media and Biofluids.

Authors:  Joana Krämer; Rui Kang; Laura M Grimm; Luisa De Cola; Pierre Picchetti; Frank Biedermann
Journal:  Chem Rev       Date:  2022-01-07       Impact factor: 60.622

Review 10.  Mixing omics: combining genetics and metabolomics to study rheumatic diseases.

Authors:  Cristina Menni; Jonas Zierer; Ana M Valdes; Tim D Spector
Journal:  Nat Rev Rheumatol       Date:  2017-02-02       Impact factor: 20.543

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