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Measurement of selection coefficients from genomic samples of adapting populations by computer modeling

The existing protocols of measuring the selection coefficients of loci neglect linkage effects existing between loci. This protocol is free from this limitation. The protocol inputs a set of DNA sequences at three time points, removes conserved sites, and estimates selection coefficients. If the use...

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Autores principales: Likhachev, Igor V., Rouzine, Igor M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999197/
https://www.ncbi.nlm.nih.gov/pubmed/36871222
http://dx.doi.org/10.1016/j.xpro.2022.101821
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author Likhachev, Igor V.
Rouzine, Igor M.
author_facet Likhachev, Igor V.
Rouzine, Igor M.
author_sort Likhachev, Igor V.
collection PubMed
description The existing protocols of measuring the selection coefficients of loci neglect linkage effects existing between loci. This protocol is free from this limitation. The protocol inputs a set of DNA sequences at three time points, removes conserved sites, and estimates selection coefficients. If the user wishes to test the accuracy, it can ask the protocol to generate mock data by computer simulation of evolution. The main limitation is the need for sequence samples isolated from 30–100 populations adapting in parallel. For complete details on the use and execution of this protocol, please refer to Barlukova and Rouzine (2021).
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spelling pubmed-99991972023-03-11 Measurement of selection coefficients from genomic samples of adapting populations by computer modeling Likhachev, Igor V. Rouzine, Igor M. STAR Protoc Protocol The existing protocols of measuring the selection coefficients of loci neglect linkage effects existing between loci. This protocol is free from this limitation. The protocol inputs a set of DNA sequences at three time points, removes conserved sites, and estimates selection coefficients. If the user wishes to test the accuracy, it can ask the protocol to generate mock data by computer simulation of evolution. The main limitation is the need for sequence samples isolated from 30–100 populations adapting in parallel. For complete details on the use and execution of this protocol, please refer to Barlukova and Rouzine (2021). Elsevier 2023-03-04 /pmc/articles/PMC9999197/ /pubmed/36871222 http://dx.doi.org/10.1016/j.xpro.2022.101821 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Likhachev, Igor V.
Rouzine, Igor M.
Measurement of selection coefficients from genomic samples of adapting populations by computer modeling
title Measurement of selection coefficients from genomic samples of adapting populations by computer modeling
title_full Measurement of selection coefficients from genomic samples of adapting populations by computer modeling
title_fullStr Measurement of selection coefficients from genomic samples of adapting populations by computer modeling
title_full_unstemmed Measurement of selection coefficients from genomic samples of adapting populations by computer modeling
title_short Measurement of selection coefficients from genomic samples of adapting populations by computer modeling
title_sort measurement of selection coefficients from genomic samples of adapting populations by computer modeling
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999197/
https://www.ncbi.nlm.nih.gov/pubmed/36871222
http://dx.doi.org/10.1016/j.xpro.2022.101821
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