Naive binning improves phylogenomic analyses | Zendy

Md. Shamsuzzoha Bayzid | Zendy; Tandy Warnow | Zendy

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Naive binning improves phylogenomic analyses

Author(s) -

Md. Shamsuzzoha Bayzid,

Tandy Warnow

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt394

Subject(s) - coalescent theory , concatenation (mathematics) , phylogenetic tree , tree (set theory) , computer science , supertree , tree rearrangement , sorting , scalability , phylogenetic network , algorithm , computational biology , biology , pattern recognition (psychology) , artificial intelligence , data mining , gene , mathematics , genetics , combinatorics , database

Species tree estimation in the presence of incomplete lineage sorting (ILS) is a major challenge for phylogenomic analysis. Although many methods have been developed for this problem, little is understood about the relative performance of these methods when estimated gene trees are poorly estimated, owing to inadequate phylogenetic signal.

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