A LASSO-based approach to sample sites for phylogenetic tree search.

Journal: Bioinformatics (Oxford, England)
Published Date:

Abstract

MOTIVATION: In recent years, full-genome sequences have become increasingly available and as a result many modern phylogenetic analyses are based on very long sequences, often with over 100 000 sites. Phylogenetic reconstructions of large-scale alignments are challenging for likelihood-based phylogenetic inference programs and usually require using a powerful computer cluster. Current tools for alignment trimming prior to phylogenetic analysis do not promise a significant reduction in the alignment size and are claimed to have a negative effect on the accuracy of the obtained tree.

Authors

  • Noa Ecker
    The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel.
  • Dana Azouri
    School of Plant Sciences and Food Security, Tel Aviv University, Ramat Aviv, Tel-Aviv, Israel.
  • Ben Bettisworth
    Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany.
  • Alexandros Stamatakis
    Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, 69118 Heidelberg, Germany.
  • Yishay Mansour
    Balvatnik School of Computer Science, Tel-Aviv University, Ramat Aviv, Tel-Aviv, Israel.
  • Itay Mayrose
    Department of Molecular Biology and Ecology of Plants, Tel Aviv University, Tel Aviv, Israel.
  • Tal Pupko
    Department of Earth and Planetary Science, UC Berkeley, Berkeley, CA, 94720, USA.