A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008-01-01

AUTHORS

Xintao Wei , Lenore Cowen , Carla Brodley , Arthur Brady , D. Sculley , Donna K. Slonim

ABSTRACT

As the number of sequenced genomes has grown, we have become increasingly aware of the impact of horizontal gene transfer on our understanding of genome evolution. Methods for detecting horizontal gene transfer from sequence abound. Among the most accurate are methods based on phylogenetic tree inference, but even these can perform poorly in some cases, such as when multiple trees fit the data equally well. In addition, they tend to be computationally intensive, making them poorly suited to genomic-scale applications. We introduce a new method for detecting horizontal transfer that incorporates the distances typically used by phylogeny-based methods, rather than the trees themselves. We demonstrate that the distance method is scalable and that it performs well precisely in cases where phylogenetic approaches struggle. We conclude that a distance-based approach may be a valuable addition to the set of tools currently available for identifying horizontal gene transfer. More... »

PAGES

26-37

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-79450-9_4

DOI

http://dx.doi.org/10.1007/978-3-540-79450-9_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022525342


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