Name
Abstract | ||
|---|---|---|
As the number of sequenced genomes has grown, we have becomeincreasingly aware of the impact of horizontal gene transfer on our understandingof genome evolution. Methods for detecting horizontal gene transfer fromsequence abound. Among the most accurate are methods based on phylogenetictree inference, but even these can perform poorly in some cases, such as whenmultiple trees fit the data equally well. In addition, they tend to be computationallyintensive, making them poorly suited to genomic-scale applications. Weintroduce a new method for detecting horizontal transfer that incorporates thedistances typically used by phylogeny-based methods, rather than the treesthemselves. We demonstrate that the distance method is scalable and that it performswell precisely in cases where phylogenetic approaches struggle. We concludethat a distance-based approach may be a valuable addition to the set oftools currently available for identifying horizontal gene transfer. |
Year | Venue | Keywords |
|---|---|---|
2008 | ISBRA | distance method,phylogenetic approaches struggle,phylogenetictree inference,distance-based approach,phylogeny-based method,valuable addition,horizontal transfer,horizontal gene transfer fromsequence,whole genomes,new method,horizontal gene transfer,distance-based method,phylogenetic tree,genome evolution |
Field | DocType | Volume |
Genome,Xylella fastidiosa,Phylogenetic tree,Inference,Computer science,Horizontal gene transfer,Genome evolution,Bioinformatics,Phylogenetics | Conference | 4983 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-79449-2 | 1 |
PageRank | References | Authors |
0.40 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xintao Wei | 1 | 7 | 1.29 |
| Lenore Cowen | 2 | 388 | 38.37 |
| Carla E. Brodley | 3 | 3622 | 474.88 |
| Arthur Brady | 4 | 103 | 6.38 |
| D. Sculley | 5 | 853 | 40.14 |
| Donna K. Slonim | 6 | 252 | 44.18 |