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A framework for evolutionary systems biology

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  • Laurence Loewe

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    Rights statement: © 2009 Loewe; licensee BioMed Central Ltd. 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.

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Original languageEnglish
Article number27
JournalBMC Systems Biology
Volume3
DOIs
Publication statusPublished - 2009

Abstract

Many difficult problems in evolutionary genomics are related to mutations that have weak effects on fitness, as the consequences of mutations with large effects are often simple to predict. Current systems biology has accumulated much data on mutations with large effects and can predict the properties of knockout mutants in some systems. However experimental methods are too insensitive to observe small effects.

    Research areas

  • Adaptation, Biological, Algorithms, Biological Evolution, Genetics, Population, Genomics, Models, Genetic, Mutation, Systems Biology

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