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.
|Title of host publication||Evolutionary Biology|
|Subtitle of host publication||Mechanisms and Trends|
|Publisher||Springer-Verlag Berlin Heidelberg|
|Number of pages||14|
|ISBN (Print)||3642304249, 9783642304248|
|State||Published - 1 Jun 2012|