Abstract
The topic of this chapter has only rather recently been recognized as a distinct area. Its boundaries are, however, presently less clearly demarcated than those of most of the other -omics fields of study. Nevertheless, it is arguably the most important and interesting among them. Important subtopics include activity-based protein profiling, phenotype microarrays seeded with microorganisms, ethomics (the quantitative study of behaviour) and, finally, “modelling life” via the virtual living organism (VLO).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Bilder et al. (2009).
- 2.
- 3.
The antithesis of polygenicity, (one gene affecting many traits) has been shown in at least one case to stabilize cooperation (Foster et al. 2004)—cf. Sect. 10.9.1.
- 4.
Barglow and Cravatt (2007).
- 5.
Richter and Furlong (1999).
- 6.
Furlong (2008).
- 7.
Bochner et al. (2001).
- 8.
E.g., Orgovan et al. (2014).
- 9.
Ramsden and Horvath (2009).
- 10.
E.g., Branson et al. (2009).
- 11.
Wakamoto et al. (2005).
- 12.
References
Awdeh ZL, Alper CA (2005) Mendelian inheritance of polygenic diseases: a hypothetical basis for increasing incidence. Med Hypotheses 64:495–498
Awdeh ZL, Yunis EJ, Audeh MJ, Fici D, Pugliese A, Larsen CE, Alper CA (2006) A genetic explanation for the rising incidence of type 1 diabetes, a polygenic disease. J Autoimmun 27:174–181
Bándi G, Ramsden JJ (2010) Biological programming. J Biol Phys Chem 10:5–8
Bándi G, Ramsden JJ (2011) Emulating biology: the virtual living organism. J Biol Phys Chem 11:97–106
Barglow KT, Cravatt BF (2007) Activity-based protein profiling for the functional annotation of enzymes. Nat Methods 4:822–827
Bilder RM, Sabb FW, Cannon TD, London ED, Jentsch JD, Parker DS, Poldrack RA, Evans C, Freimer NB (2009) Phenomics: the systematic study of phenotypes on a genome-wide scale. Neuroscience 164:30–42
Bochner BR, Gadzinski P, Panomitros E (2001) Phenotype microarrays for high-throughput phenotypic testing and assay of gene function. Genome Res 11:1246–1255
Branson K, Robie AA, Bender J, Perona P, Dickinson MH (2009) High throughput ethomics in large groups of Drosophila. Nat Methods 6:451–457
Foster KR, Shaulsky G, Strassman JE, Queller DC, Thompson CRL (2004) Pleiotropy is a mechanism to stabilize cooperation. Nature 431:693–696
Furlong CE (2008) The Bert La Du memorial lecture paraoxonases: an historical perspective. In: Mackness B, Mackness M, Aviram M, Paragh G (eds) The paraoxonases: their role in disease, development and xenobiotic metabolism. Springer, Dordrecht, pp 3–31
Orgovan N, Peter B, Bősze Sz, Ramsden JJ, Szabó B, Horvath R (2014) Dependence of cancer cell adhesion kinetics on integrin ligand surface density measured by a high-throughput label-free resonant waveguide grating biosensor. Sci Rep 4:4034
Ramsden JJ, Horvath R (2009) Optical biosensors for cell adhesion. J Recept Signal Transduct 29:211–223
Richter RJ, Furlong CE (1999) Determination of paraoxonase (PON1) status requires more than genotyping. Pharmacogenetics 9:745–753
Wakamoto Y, Ramsden JJ, Yasuda K (2005) Single-cell growth and division dynamics showing epigenetic correlations. Analyst 130:311–317
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2015 Springer-Verlag London
About this chapter
Cite this chapter
Ramsden, J. (2015). Phenomics. In: Bioinformatics. Computational Biology, vol 21. Springer, London. https://doi.org/10.1007/978-1-4471-6702-0_19
Download citation
DOI: https://doi.org/10.1007/978-1-4471-6702-0_19
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-6701-3
Online ISBN: 978-1-4471-6702-0
eBook Packages: Computer ScienceComputer Science (R0)