z-logo
open-access-imgOpen Access
Maximum likelihood of phylogenetic networks
Author(s) -
Guohua Jin,
Luay Nakhleh,
Sagi Snir,
Tamir Tuller
Publication year - 2006
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btl452
Subject(s) - heuristics , phylogenetic tree , computer science , horizontal gene transfer , phylogenetics , mathematical proof , data mining , theoretical computer science , machine learning , computational biology , biology , mathematics , gene , genetics , geometry , operating system
Horizontal gene transfer (HGT) is believed to be ubiquitous among bacteria, and plays a major role in their genome diversification as well as their ability to develop resistance to antibiotics. In light of its evolutionary significance and implications for human health, developing accurate and efficient methods for detecting and reconstructing HGT is imperative.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom