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MulRF: a software package for phylogenetic analysis using multi-copy gene trees.

Ruchi Chaudhary1, David Fernández-Baca1, John Gordon Burleigh1

  • 1Department of Biology, University of Florida, Gainesville, FL 32611 and Department of Computer Science, Iowa State University, Ames, IA 50011, USA.

Bioinformatics (Oxford, England)
|October 3, 2014
PubMed
Summary
This summary is machine-generated.

MulRF is a new software package for phylogenetic analysis using multi-copy gene trees. It efficiently infers species trees by minimizing the Robinson-Foulds distance, aiding in understanding complex evolutionary histories.

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Area of Science:

  • Computational Biology
  • Phylogenetics
  • Evolutionary Biology

Background:

  • Phylogenetic analysis often involves multi-copy gene trees.
  • Gene tree discordance can arise from multiple evolutionary processes or errors.

Purpose of the Study:

  • To introduce MulRF, a platform-independent software package for phylogenetic analysis.
  • To provide a tool for inferring species trees from large collections of gene trees.

Main Methods:

  • MulRF generalizes the Robinson-Foulds (RF) distance for multi-labeled trees.
  • It employs a fast tree search algorithm to find the species tree minimizing RF distance.
  • The software is implemented in C++ with a Java Swing GUI.

Main Results:

  • MulRF effectively infers species phylogenies from multi-copy gene trees.
  • The software offers customizable search options and result assessment features.
  • A user-friendly graphical user interface (GUI) with tree visualization is provided.

Conclusions:

  • MulRF is a valuable tool for phylogenetic analysis, particularly with large datasets of gene trees.
  • Its efficiency and generalized distance measure make it suitable for complex evolutionary scenarios.
  • The platform-independent nature and GUI enhance its usability.