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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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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). |
format | Online Article Text |
id | pubmed-9999197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT likhachevigorv measurementofselectioncoefficientsfromgenomicsamplesofadaptingpopulationsbycomputermodeling AT rouzineigorm measurementofselectioncoefficientsfromgenomicsamplesofadaptingpopulationsbycomputermodeling |