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Identification of aberrant pathways and network activities from high-throughput data
- Source :
- Briefings in Bioinformatics. 13:406-419
- Publication Year :
- 2012
- Publisher :
- Oxford University Press (OUP), 2012.
-
Abstract
- Many complex diseases such as cancer are associated with changes in biological pathways and molecular networks rather than being caused by single gene alterations. A major challenge in the diagnosis and treatment of such diseases is to identify characteristic aberrancies in the biological pathways and molecular network activities and elucidate their relationship to the disease. This review presents recent progress in using high-throughput biological assays to decipher aberrant pathways and network activities. In particular, this review provides specific examples in which high-throughput data have been applied to identify relationships between diseases and aberrant pathways and network activities. The achievements in this field have been remarkable, but many challenges have yet to be addressed.
- Subjects :
- Special Issue Papers
Databases, Factual
Systems Biology
Systems biology
Gene regulatory network
Single gene
Disease
Computational biology
Biology
Bioinformatics
High-Throughput Screening Assays
Biological pathway
Molecular network
DECIPHER
Gene Regulatory Networks
Identification (biology)
Molecular Biology
Information Systems
Subjects
Details
- ISSN :
- 14774054 and 14675463
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Briefings in Bioinformatics
- Accession number :
- edsair.doi.dedup.....c78e5f48a4f6f5038948be7960d0eb64