Facilities for uploading data to MetaboLights Labs
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README.md
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README.md

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MetaboLights Labs Uploader

Version: 1.0.0

Short Description

Facilities for uploading data to MetaboLights Labs

Description

MetaboLights is a database for Metabolomics experiments and derived information. The database is cross-species, cross-technique and covers metabolite structures and their reference spectra as well as their biological roles, locations and concentrations, and experimental data from metabolic experiments.We will provide search services around spectral similarities and chemical structures.

We offer user-submission tools and have strong reporting capabilities. We will utilise and further develop de-facto standard formats where various components are encapsulated, such as the encoded spectral and chromatographic data, and associated information about the chemical structure, as well as metadata describing assays and the study as a whole.

MetaboLights semantic quality will be based on various controlled vocabularies linking data to existing resources such as BRENDA (tissue ontology) and other established ontologies. We are dedicated to collaborate closely with major parties in world-wide metabolomics communities, such as the Metabolomics Society and the associated Metabolomics Standards Initiative (MSI).

Key features

  • User-submission tools
  • Strong reporting capabilities
  • Utilise and further develop de-facto standard formats where various components are encapsulated

Functionality

  • Other Tools

Approaches

Instrument Data Types

Tool Authors

  • Venkata Chandrasekhar Nainala (EMBL-EBI)

Container Contributors

Website

Git Repository

Installation

For local individual installation:

docker pull docker-registry.phenomenal-h2020.eu/phnmnl/mtbl-labs-uploader

Usage Instructions

For direct docker usage:

docker run docker-registry.phenomenal-h2020.eu/phnmnl/mtbl-labs-uploader ...

Publications

  • Haug, K., Salek, R. M., Conesa, P., Hastings, J., de Matos, P., Rijnbeek, M., ... & Maguire, E. (2012). MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data. Nucleic acids research, gks1004.