Algorithms to reconstruct evolutionary events at molecular level and infer species phylogeny

Авторы: Lyubetsky V., Gorbunov K., Rusin L., V’yugin V.
Сборник: Bioinformatics of Genome Regulation and Structure II (Kolchanov, N., Hofestaedt, R., Eds.)
Серия: Part 1
Глава в коллективной монографии
Год издания: 2006
Издательство: Springer US
Местоположение издательства: New York, United States
Первая страница: 189
Последняя страница: 204
DOI: 10.1007/0-387-29455-4_20
Аннотация: Mathematic methods and models for comparative analysis of large sets of protein phylogenies are described. The processes modeled are gene duplication, loss, gain and horizontal transfer. Initially, a species tree is constructed as a consensus of corresponding gene trees using probabilistic distribution on source data. Algorithms are further implemented to identify vertices accounting for topological disparities between gene and species trees, with possibility to infer underlying evolutionary events. The analysis is illustrated on case studies of a prokaryotic protein family and a set of protein phylogenies deduced from families from the COGs database (NCBI). The potential of the described methods to infer phylogeny and gene evolution events is discussed.
Добавил в систему: Русин Леонид Юрьевич

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