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Output details

11 - Computer Science and Informatics

University of Oxford

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Output 13 of 263 in the submission

Article title

A metadata approach for clinical data management in translational genomics studies in breast cancer

Type

D - Journal article

DOI

10.1186/1755-8794-2-66

Title of journal

BMC MEDICAL GENOMICS

Article number

ARTN 66

Volume number

Issue number

First page of article

ISSN of journal

1755-8794

Year of publication

2009

URL

http://www.biomedcentral.com/1755-8794/2/66

Number of additional authors

Additional information

<28>

In the UK-Canada METABRIC (Molecular Taxonomy of Breast Cancer) project, model-driven tools and semantic web technology were used to annotate and standardise clinical records linked to 4000 tissue samples from five different hospitals. The resulting meta-analysis, which led to a Nature publication, would have been impractical without the degree of automation that the new technology afforded. This is a highly-accessed article (more than 3000 accesses on BioMed Central). The technology has been carried forward to the main UK Contribution for the International Cancer Genome Consortium, in Oesophageal Cancer, where Davies' team are responsible for the computer science.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract