MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics

Irena Spasić; Warwick B Dunn; Giles Velarde; Andy Tseng; Helen Jenkins; Nigel Hardy; Stephen G Oliver; Douglas B Kell

doi:10.1186/1471-2105-7-281

MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics

Irena Spasić, Warwick B Dunn, Giles Velarde, Andy Tseng, Helen Jenkins, Nigel Hardy, Stephen G Oliver, Douglas B Kell

Biosciences

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Abstract

The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5-6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour of the cell can be observed using large-scale metabolomic studies. The metabolomic data produced need to be structured and annotated in a machine-usable form to facilitate the exploration of the hidden links between the genes and their functions.

Original language	English
Article number	281
Journal	BMC Bioinformatics
Volume	7
DOIs	https://doi.org/10.1186/1471-2105-7-281
Publication status	Published - 5 Jun 2006

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Spasic_et_al_MeMo_BMC_Bioinformatics_2006
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Checked July 2015
Final published version, 1.18 MBLicence: Creative Commons: Attribution (CC BY)

Cite this

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abstract = "The genome sequencing projects have shown our limited knowledge regarding gene function, e.g. S. cerevisiae has 5-6,000 genes of which nearly 1,000 have an uncertain function. Their gross influence on the behaviour of the cell can be observed using large-scale metabolomic studies. The metabolomic data produced need to be structured and annotated in a machine-usable form to facilitate the exploration of the hidden links between the genes and their functions.",

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AU - Hardy, Nigel

AU - Oliver, Stephen G

AU - Kell, Douglas B

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MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics

Abstract

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