Coevolution of gene families: Models, algorithms, and systems biology

Tamir Tuller*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


A pair of gene families coevolves if the two gene families have correlative patterns of evolution. Recent studies in the field of evolutionary systems biology have demonstrated the advantages of exploiting co-evolutionary information. Specifically, it was shown that coevolution can be used for inferring physical and functional interactions, and ancestral genomic sequences; in addition, it was shown that co-evolution information can be utilized for understanding cellular systems and their evolution. To this end, corresponding models, algorithms, and statistical approaches have been developed. In this chapter, I review the recent advances in the field concentrating on algorithms for analyzing co-evolutionary information and their applications.

Original languageEnglish
Title of host publicationEvolutionary Biology
Subtitle of host publicationMechanisms and Trends
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages14
ISBN (Electronic)9783642304255
ISBN (Print)3642304249, 9783642304248
StatePublished - 1 Jun 2012


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