|This article's factual accuracy is disputed. (March 2011) (Learn how and when to remove this template message)|
Phenomics is an area of biology concerned with the measurement of phenomes—the physical and biochemical traits of organisms—as they change in response to genetic mutation and environmental influences. It is used in functional genomics, pharmaceutical research, metabolic engineering and increasingly in phylogenetics.
An important field of research today is trying to improve, both qualitatively and quantitatively, the capacity to measure phenomes. This include developing high-throughput measurement systems.
For example, the Australian Plant Phenomics Facility, an initiative of the Australian government, has developed a number of new instruments for comprehensive and fast measurements of phenotypes in both the lab and the field.
- PhenomicDB, a database combining phenotypic and genetic data from several species
- Phenotype microarray
- Houle, David; Govindaraju, Diddahally R.; Omholt, Stig (2010). "Phenomics: the next challenge". Nature Reviews Genetics. 11 (12): 855–866. doi:10.1038/nrg2897. ISSN 1471-0056.
- O’Leary, M. A., J. I. Bloch, J. J. Flynn, T. J. Gaudin, A. Giallombardo, N. P. Giannini, S. L. Goldberg, B. P. Kraatz, Z.-X. Luo, J. Meng, X. Ni, M. J. Novacek, F. A. Perini, Z. Randall, G. W. Rougier, E. J. Sargis, M. T. Silcox, N. B. Simmons, M. Spaulding, P. M. Velazco, M. Weksler, J. R. Wible, and A. L. Cirranello. 2013. The placental mammal ancestor and the post-K-Pg radiation of placentals. Science. 332:662-667.
- Schilling, C.H.; Edwards, J.S.; Palsson, B.O. (1999), "Toward metabolic phenomics: analysis of genomic data using flux balances", Biotechnology Progress, 15 (3): 288–295, doi:10.1021/bp9900357, PMID 10356245
- Gerlai, R. (2002), "Phenomics: fiction or the future?", Trends in Neurosciences, 25 (10): 506–509, doi:10.1016/S0166-2236(02)02250-6, PMID 12220878
- Freimer, N.; Sabatti, C. (2003), "The human phenome project", Nature Genetics, Nature Publishing Group, 34 (1): 15–21, doi:10.1038/ng0503-15, PMID 12721547
- Warringer, J.; Ericson, E.; Fernandez, L.; Nerman, O.; Blomberg, A. (2003), "High-resolution yeast phenomics resolves different physiological features in the saline response", Proceedings of the National Academy of Sciences of the United States of America, 100 (26): 15724–15729, doi:10.1073/pnas.2435976100, PMC , PMID 14676322
- Zbuk, K.M.; Eng, C. (2006), "Cancer phenomics: RET and PTEN as illustrative models", Nature Reviews Cancer, 7 (1): 35–45, doi:10.1038/nrc2037, PMID 17167516
- Eberius, M.; Lima-Guerra, J. (2009), "High-Throughput Plant Phenotyping – Data Acquisition, Transformation, and Analysis", Bioinformatics, 7 (1): 259–278, doi:10.1007/978-0-387-92738-1_13, ISBN 978-0-387-92737-4
- O'Leary, M. A.; Kaufman, S. (2011), "MorphoBank: phylophenomics in the cloud", Cladistics (27): 1–9, doi:10.1111/j.1096-0031.2011.00355.x
|This biology article is a stub. You can help Wikipedia by expanding it.|