Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-19482
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kosiol, Carolin | - |
dc.contributor.author | Anisimova, Maria | - |
dc.date.accessioned | 2020-02-19T14:16:48Z | - |
dc.date.available | 2020-02-19T14:16:48Z | - |
dc.date.issued | 2019 | - |
dc.identifier.isbn | 978-1-4939-9073-3 | de_CH |
dc.identifier.isbn | 978-1-4939-9074-0 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/19482 | - |
dc.description.abstract | Populations evolve as mutations arise in individual organisms and, through hereditary transmission, may become "fixed" (shared by all individuals) in the population. Most mutations are lethal or have negative fitness consequences for the organism. Others have essentially no effect on organismal fitness and can become fixed through the neutral stochastic process known as random drift. However, mutations may also produce a selective advantage that boosts their chances of reaching fixation. Regions of genomes where new mutations are beneficial, rather than neutral or deleterious, tend to evolve more rapidly due to positive selection. Genes involved in immunity and defense are a well-known example; rapid evolution in these genes presumably occurs because new mutations help organisms to prevail in evolutionary "arms races" with pathogens. In recent years genome-wide scans for selection have enlarged our understanding of the genome evolution of various species. In this chapter, we will focus on methods to detect selection on the genome. In particular, we will discuss probabilistic models and how they have changed with the advent of new genome-wide data now available. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Humana | de_CH |
dc.relation.ispartof | Evolutionary genomics : statistical and computational methods | de_CH |
dc.relation.ispartofseries | Methods in Molecular Biology | de_CH |
dc.rights | https://creativecommons.org/licenses/by/4.0/ | de_CH |
dc.subject | Codon model | de_CH |
dc.subject | Conserved and accelerated region | de_CH |
dc.subject | Polymorphism-aware phylogenetic model | de_CH |
dc.subject | Positive selection scan | de_CH |
dc.subject | Selection-mutation model | de_CH |
dc.subject | Codon | de_CH |
dc.subject | Computational Biology | de_CH |
dc.subject | Genome-wide association study | de_CH |
dc.subject | Genomics | de_CH |
dc.subject | Genotype | de_CH |
dc.subject | Mammal | de_CH |
dc.subject | Genetic models | de_CH |
dc.subject | Statistical model | de_CH |
dc.subject | Mutation | de_CH |
dc.subject | Phylogeny | de_CH |
dc.subject | Genetic polymorphism | de_CH |
dc.subject | Software | de_CH |
dc.subject | Molecular evolution | de_CH |
dc.subject | Genome | de_CH |
dc.subject | Genetic selection | de_CH |
dc.subject.ddc | 572: Biochemie | de_CH |
dc.title | Selection acting on genomes | de_CH |
dc.type | Buchbeitrag | 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 | 10.1007/978-1-4939-9074-0_12 | de_CH |
dc.identifier.doi | 10.21256/zhaw-19482 | - |
dc.identifier.pmid | 31278671 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.end | 397 | de_CH |
zhaw.pages.start | 373 | de_CH |
zhaw.parentwork.editor | Anisimova, Maria | - |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.webfeed | Computational Genomics | de_CH |
zhaw.author.additional | No | de_CH |
Appears in collections: | Publikationen Life Sciences und Facility Management |
Files in This Item:
File | Description | Size | Format | |
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2019_Anisimova_Selection-acting-on-genomes.pdf | 457.3 kB | Adobe PDF | View/Open |
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Kosiol, C., & Anisimova, M. (2019). Selection acting on genomes. In M. Anisimova (Ed.), Evolutionary genomics : statistical and computational methods (pp. 373–397). Humana. https://doi.org/10.1007/978-1-4939-9074-0_12
Kosiol, C. and Anisimova, M. (2019) ‘Selection acting on genomes’, in M. Anisimova (ed.) Evolutionary genomics : statistical and computational methods. Humana, pp. 373–397. Available at: https://doi.org/10.1007/978-1-4939-9074-0_12.
C. Kosiol and M. Anisimova, “Selection acting on genomes,” in Evolutionary genomics : statistical and computational methods, M. Anisimova, Ed. Humana, 2019, pp. 373–397. doi: 10.1007/978-1-4939-9074-0_12.
KOSIOL, Carolin und Maria ANISIMOVA, 2019. Selection acting on genomes. In: Maria ANISIMOVA (Hrsg.), Evolutionary genomics : statistical and computational methods. Humana. S. 373–397. ISBN 978-1-4939-9073-3
Kosiol, Carolin, and Maria Anisimova. 2019. “Selection Acting on Genomes.” In Evolutionary Genomics : Statistical and Computational Methods, edited by Maria Anisimova, 373–97. Humana. https://doi.org/10.1007/978-1-4939-9074-0_12.
Kosiol, Carolin, and Maria Anisimova. “Selection Acting on Genomes.” Evolutionary Genomics : Statistical and Computational Methods, edited by Maria Anisimova, Humana, 2019, pp. 373–97, https://doi.org/10.1007/978-1-4939-9074-0_12.
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