Spasić et al., 2006 - Google Patents
MeMo: a hybrid SQL/XML approach to metabolomic data management for functional genomicsSpasić et al., 2006
View HTML- Document ID
- 13106959868012503097
- Author
- Spasić I
- Dunn W
- Velarde G
- Tseng A
- Jenkins H
- Hardy N
- Oliver S
- Kell D
- Publication year
- Publication venue
- BMC bioinformatics
External Links
Snippet
Background The genome sequencing projects have shown our limited knowledge regarding gene function, eg 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 …
- 238000002705 metabolomic 0 title abstract description 77
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30389—Query formulation
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- G06F17/30557—Details of integrating or interfacing systems involving at least one database management system
- G06F17/30569—Details of data format conversion from or to a database
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
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- G—PHYSICS
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- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
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- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
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