MGED
Introduction
The MGED Society is an international organization of biologists, computer scientists, and data analysts that aims to facilitate biological and biomedical discovery through data integration. Our approach is to promote the sharing of large data sets generated by high throughput functional genomics technologies. Historically, MGED began with a focus on microarrays and gene expression data. However, the scope of MGED now includes data generated using any technology when applied to genome-scale studies of gene expression, binding, modification and other related applications.
Members of MGED work to establish standards for data quality, management, annotation and exchange; facilitate the creation of tools that leverage these standards; and work with other standards organizations and promoting the sharing of high quality, well annotated data within the life sciences and biomedical communities.
Defined MGED Standards:
Collaborative Standards Working Groups:
- MIBBI
- ISA-TAB
- FuGE
- OBI under OBO Foundry
Read more about:
- MGED Sponsors
- Historical highlights
- MGED Meetings
- MGED Supported Meetings
- Programming Jamborees
- MGED Goals
- MGED Workgroups
- Relevant Publications
- MGED Board
News
Second-Generation Sequencing Article mentions the involvement of MINSEQE
08 Jan 2009
A Bioinform article details the progress of high-throughput sequencing in 2008 and mentions the importance of standards such as the MGED co-ordinated MINSEQE draft to compare results.
Deposition rates of expression microarray datasets can be improved
25 Nov 2008
A retrospective study shows the deposition rate of some selective published microarray datasets was less than half, although it's asserted that these depositions are more routine. It goes on to suggest how deposition rates can be improved.
Minimum Information about a high-throughput Nucleotide SeQuencing Experiment – MINSEQE (Draft Proposal)
10 Apr 2008
As an output of discussions at the recent MGED-organized UHTS standardization workshop (in Berkeley, March 17-18, 2008), a new Minimum Information checklist is being developed called MINSEQE. We welcome your feedback on this proposal.
Benefits of sharing microarray data include higher citations!
07 Dec 2007
A research article on Sharing Detailed Research Data Is Associated with Increased Citation Rate
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Events
MGED 12 Meeting
05 Nov 2008
MGED 12 meeting, October 5-8, 2009, Phoenix, Arizona, USA.
