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https://doi.org/10.21256/zhaw-3881
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Anisimova, Maria | - |
dc.date.accessioned | 2018-07-17T14:39:15Z | - |
dc.date.available | 2018-07-17T14:39:15Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 1471-2148 | de_CH |
dc.identifier.uri | 209259 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/8257 | - |
dc.description.abstract | Today computational molecular evolution is a vibrant research field that benefits from the availability of large and complex new generation sequencing data - ranging from full genomes and proteomes to microbiomes, metabolomes and epigenomes. The grounds for this progress were established long before the discovery of the DNA structure. Specifically, Darwin's theory of evolution by means of natural selection not only remains relevant today, but also provides a solid basis for computational research with a variety of applications. But a long-term progress in biology was ensured by the mathematical sciences, as exemplified by Sir R. Fisher in early 20th century. Now this is true more than ever: The data size and its complexity require biologists to work in close collaboration with experts in computational sciences, modeling and statistics. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | BioMed Central | de_CH |
dc.relation.ispartof | BMC Evolutionary Biology | de_CH |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | de_CH |
dc.subject | Animal | de_CH |
dc.subject | Biotechnology | de_CH |
dc.subject | Computational biology | de_CH |
dc.subject | Human | de_CH |
dc.subject | Metabolome | de_CH |
dc.subject | Proteins | de_CH |
dc.subject | Genetic selection | de_CH |
dc.subject | Molecular evolution | de_CH |
dc.subject | Genomics | de_CH |
dc.subject.ddc | 570: Biologie | de_CH |
dc.subject.ddc | 660.6: Biotechnologie | de_CH |
dc.title | Darwin and Fisher meet at biotech : on the potential of computational molecular evolution in industry | de_CH |
dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | Life Sciences und Facility Management | de_CH |
zhaw.organisationalunit | Institut für Computational Life Sciences (ICLS) | de_CH |
dc.identifier.doi | 10.21256/zhaw-3881 | - |
dc.identifier.doi | 10.1186/s12862-015-0352-y | de_CH |
dc.identifier.pmid | 25928234 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 85 | de_CH |
zhaw.pages.start | 76 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.volume | 15 | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.webfeed | Computational Genomics | de_CH |
Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
File | Description | Size | Format | |
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s12862-015-0352-y.pdf | 720.2 kB | Adobe PDF | View/Open |
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Anisimova, M. (2015). Darwin and Fisher meet at biotech : on the potential of computational molecular evolution in industry. BMC Evolutionary Biology, 15, 76–85. https://doi.org/10.21256/zhaw-3881
Anisimova, M. (2015) ‘Darwin and Fisher meet at biotech : on the potential of computational molecular evolution in industry’, BMC Evolutionary Biology, 15, pp. 76–85. Available at: https://doi.org/10.21256/zhaw-3881.
M. Anisimova, “Darwin and Fisher meet at biotech : on the potential of computational molecular evolution in industry,” BMC Evolutionary Biology, vol. 15, pp. 76–85, 2015, doi: 10.21256/zhaw-3881.
ANISIMOVA, Maria, 2015. Darwin and Fisher meet at biotech : on the potential of computational molecular evolution in industry. BMC Evolutionary Biology [online]. 2015. Bd. 15, S. 76–85. DOI 10.21256/zhaw-3881. Verfügbar unter: 209259
Anisimova, Maria. 2015. “Darwin and Fisher Meet at Biotech : On the Potential of Computational Molecular Evolution in Industry.” BMC Evolutionary Biology 15: 76–85. https://doi.org/10.21256/zhaw-3881.
Anisimova, Maria. “Darwin and Fisher Meet at Biotech : On the Potential of Computational Molecular Evolution in Industry.” BMC Evolutionary Biology, vol. 15, 2015, pp. 76–85, https://doi.org/10.21256/zhaw-3881.
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