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

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Type Article
Original languageEnglish
Article number281
JournalBMC Bioinformatics
Volume7
DOI
Publication statusPublished - 05 Jun 2006
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IRUS-UK
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Biochemistry, Genetics and Molecular Biology

100
Metabolomics Biochemistry, Genetics an...
50
Data Base Biochemistry, Genetics an...
33
Nested Gene Biochemistry, Genetics an...
33
Hybrid Biochemistry, Genetics an...
16
Solution and Solubi... Biochemistry, Genetics an...
16
Exploratory Behavio... Biochemistry, Genetics an...
16
Volume Biochemistry, Genetics an...
16
Data Processing Biochemistry, Genetics an...
16
Gene Function Biochemistry, Genetics an...
16
Functional Genomics Biochemistry, Genetics an...
16
Experimentation Biochemistry, Genetics an...
16
Genomic Database Biochemistry, Genetics an...
16
Semantics Biochemistry, Genetics an...
16
Self Concept Biochemistry, Genetics an...
16
Sequencing Biochemistry, Genetics an...
16
Software Biochemistry, Genetics an...
16
Maturity Biochemistry, Genetics an...

Computer Science

66
Simulation Mode Computer Science
50
Functions Computer Science
33
Structured Query La... Computer Science
33
Relational Database Computer Science
16
Complexity Computer Science
16
Scalability Computer Science
16
Extensibility Computer Science
16
Data Management Computer Science
16
Relational Schema Computer Science
16
Metadata Computer Science
16
Hybrid Approach Computer Science
16
Application Softwar... Computer Science
16
Data Type Computer Science
16
Practical Solution Computer Science
16
Links Computer Science
16
Data Analysis Computer Science
16
Semantic Integratio... Computer Science
16
Data Integration Computer Science
16
Annotation Computer Science
Research OutputsResearch Output authored by MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomics is tagged with the concept