Improved gene tree error correction in the presence of horizontal gene transfer
Mukul S. Bansal; Yi-Chieh Wu; Eric J. Alm; Manolis Kellis · 2014 · Bioinformatics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
MOTIVATION: The accurate inference of gene trees is a necessary step in many evolutionary studies. Although the problem of accurate gene tree inference has received considerable attention, most existing methods are only applicable to gene families unaffected by horizontal gene transfer. As a result, the accurate inference of gene trees affected by horizontal gene transfer remains a largely unaddressed problem. RESULTS: In this study, we introduce a new and highly effective method for gene tree error correction in the presence of horizontal gene transfer. Our method efficiently models horizonta
Abstract by Mukul S. Bansal; Yi-Chieh Wu; Eric J. Alm; Manolis Kellis, Bioinformatics (2014) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1093/bioinformatics/btu806