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Literature DB >> 12728276

Integrating biological databases.

Abstract

Recent years have seen an explosion in the amount of available biological data. More and more genomes are being sequenced and annotated, and protein and gene interaction data are accumulating. Biological databases have been invaluable for managing these data and for making them accessible. Depending on the data that they contain, the databases fulfil different functions. But, although they are architecturally similar, so far their integration has proved problematic.

Mesh：

Year: 2003 PMID： 12728276 DOI： 10.1038/nrg1065

Source DB: PubMed Journal: Nat Rev Genet ISSN： 1471-0056 Impact factor: 53.242

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Cited

82 in total

1. PROTEOME-3D: an interactive bioinformatics tool for large-scale data exploration and knowledge discovery.

Authors: Deborah H Lundgren; Jimmy Eng; Michael E Wright; David K Han
Journal: Mol Cell Proteomics Date: 2003-09-07 Impact factor: 5.911

2. SeqVISTA: a new module of integrated computational tools for studying transcriptional regulation.

Authors: Zhenjun Hu; Yutao Fu; Anason S Halees; Szymon M Kielbasa; Zhiping Weng
Journal: Nucleic Acids Res Date: 2004-07-01 Impact factor: 16.971

3. Outcome of array CGH analysis for 255 subjects with intellectual disability and search for candidate genes using bioinformatics.

Authors: Y Qiao; C Harvard; C Tyson; X Liu; C Fawcett; P Pavlidis; J J A Holden; M E S Lewis; E Rajcan-Separovic
Journal: Hum Genet Date: 2010-05-29 Impact factor: 4.132

Integrating biological databases.

1. PROTEOME-3D: an interactive bioinformatics tool for large-scale data exploration and knowledge discovery.

2. SeqVISTA: a new module of integrated computational tools for studying transcriptional regulation.

3. Outcome of array CGH analysis for 255 subjects with intellectual disability and search for candidate genes using bioinformatics.

4. BioMOBY successfully integrates distributed heterogeneous bioinformatics Web Services. The PlaNet exemplar case.

5. Developing a Cyberinfrastructure for integrated assessments of environmental contaminants.

6. S3QL: a distributed domain specific language for controlled semantic integration of life sciences data.

Review 7. Genotype-phenotype databases: challenges and solutions for the post-genomic era.

8. The new biology: a bridge to clinical cardiology.

9. Bringing Web 2.0 to bioinformatics.

Review 10. Clinical uses of microarrays in cancer research.