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Database Commons - metabolicMine

metabolicMine

Citations: 10

z-index 0.00

Short name metabolicMine
Full name metabolicMine
Description an integrated genomics,genetics and proteomics data warehouse for common metabolic disease research
URL http://www.metabolicmine.org/beta/begin.do
Year founded 2013
Last update & version 7/4/2013    v Beta
Availability Free to all users
University/Institution hosted University of Cambridge
Address Cambridge CB2 1QR,UK
City Cambridge
Province/State
Country/Region United Kingdom
Contact name Gos Micklem
Contact email g.micklem@gen.cam.ac.uk
Data type(s)
Major organism(s)
Keyword(s)
  • common metabolic disease
Publication(s)
  • metabolicMine: an integrated genomics, genetics and proteomics data warehouse for common metabolic disease research. [PMID: 23935057]

    Mike Lyne, Richard N Smith, Rachel Lyne, Jelena Aleksic, Fengyuan Hu, Alex Kalderimis, Radek Stepan, Gos Micklem
    Database : the journal of biological databases and curation 2013:2013
    10 Citations (Google Scholar as of 2016-01-28)

    Abstract: Common metabolic and endocrine diseases such as diabetes affect millions of people worldwide and have a major health impact, frequently leading to complications and mortality. In a search for better prevention and treatment, there is ongoing research into the underlying molecular and genetic bases of these complex human diseases, as well as into the links with risk factors such as obesity. Although an increasing number of relevant genomic and proteomic data sets have become available, the quantity and diversity of the data make their efficient exploitation challenging. Here, we present metabolicMine, a data warehouse with a specific focus on the genomics, genetics and proteomics of common metabolic diseases. Developed in collaboration with leading UK metabolic disease groups, metabolicMine integrates data sets from a range of experiments and model organisms alongside tools for exploring them. The current version brings together information covering genes, proteins, orthologues, interactions, gene expression, pathways, ontologies, diseases, genome-wide association studies and single nucleotide polymorphisms. Although the emphasis is on human data, key data sets from mouse and rat are included. These are complemented by interoperation with the RatMine rat genomics database, with a corresponding mouse version under development by the Mouse Genome Informatics (MGI) group. The web interface contains a number of features including keyword search, a library of Search Forms, the QueryBuilder and list analysis tools. This provides researchers with many different ways to analyse, view and flexibly export data. Programming interfaces and automatic code generation in several languages are supported, and many of the features of the web interface are available through web services. The combination of diverse data sets integrated with analysis tools and a powerful query system makes metabolicMine a valuable research resource. The web interface makes it accessible to first-time users, whereas the Application Programming Interface (API) and web services provide convenient data access and tools for bioinformaticians. metabolicMine is freely available online at http://www.metabolicmine.org Database URL: http://www.metabolicmine.org.

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Tags

Disease DNA
Homo sapiens
common metabolic disease

Record metadata

  • Created on: 2015-06-20
  • Curated by:
    • Lin Liu [2016-03-29]
    • Li Yang [2015-11-23]
    • Li Yang [2015-06-26]
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