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From biophysics to evolutionary genetics: statistical aspects of gene regulation
This is an introductory review on how genes interact to produce biological functions. Transcriptional interactions involve the binding of proteins to regulatory DNA. Specific binding sites can be identified by genomic analysis, and these undergo a stochastic evolution process governed by selection,...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995540/ https://www.ncbi.nlm.nih.gov/pubmed/17903288 http://dx.doi.org/10.1186/1471-2105-8-S6-S7 |
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author | Lässig, Michael |
author_facet | Lässig, Michael |
author_sort | Lässig, Michael |
collection | PubMed |
description | This is an introductory review on how genes interact to produce biological functions. Transcriptional interactions involve the binding of proteins to regulatory DNA. Specific binding sites can be identified by genomic analysis, and these undergo a stochastic evolution process governed by selection, mutations, and genetic drift. We focus on the links between the biophysical function and the evolution of regulatory elements. In particular, we infer fitness landscapes of binding sites from genomic data, leading to a quantitative evolutionary picture of regulation. |
format | Text |
id | pubmed-1995540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-19955402007-10-02 From biophysics to evolutionary genetics: statistical aspects of gene regulation Lässig, Michael BMC Bioinformatics Review This is an introductory review on how genes interact to produce biological functions. Transcriptional interactions involve the binding of proteins to regulatory DNA. Specific binding sites can be identified by genomic analysis, and these undergo a stochastic evolution process governed by selection, mutations, and genetic drift. We focus on the links between the biophysical function and the evolution of regulatory elements. In particular, we infer fitness landscapes of binding sites from genomic data, leading to a quantitative evolutionary picture of regulation. BioMed Central 2007-09-27 /pmc/articles/PMC1995540/ /pubmed/17903288 http://dx.doi.org/10.1186/1471-2105-8-S6-S7 Text en Copyright © 2007 Lässig; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Lässig, Michael From biophysics to evolutionary genetics: statistical aspects of gene regulation |
title | From biophysics to evolutionary genetics: statistical aspects of gene regulation |
title_full | From biophysics to evolutionary genetics: statistical aspects of gene regulation |
title_fullStr | From biophysics to evolutionary genetics: statistical aspects of gene regulation |
title_full_unstemmed | From biophysics to evolutionary genetics: statistical aspects of gene regulation |
title_short | From biophysics to evolutionary genetics: statistical aspects of gene regulation |
title_sort | from biophysics to evolutionary genetics: statistical aspects of gene regulation |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1995540/ https://www.ncbi.nlm.nih.gov/pubmed/17903288 http://dx.doi.org/10.1186/1471-2105-8-S6-S7 |
work_keys_str_mv | AT lassigmichael frombiophysicstoevolutionarygeneticsstatisticalaspectsofgeneregulation |