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Very Fast Tree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies.

Authors :
Piñeiro, César
Abuín, José M
Pichel, Juan C
Source :
Bioinformatics; Sep2020, Vol. 36 Issue 17, p4658-4659, 2p
Publication Year :
2020

Abstract

Motivation FastTree-2 is one of the most successful tools for inferring large phylogenies. With speed at the core of its design, there are still important issues in the FastTree-2 implementation that harm its performance and scalability. To deal with these limitations, we introduce VeryFastTree, a highly tuned implementation of the FastTree-2 tool that takes advantage of parallelization and vectorization strategies to boost performance. Results VeryFastTree is able to construct a tree on a standard server using double-precision arithmetic from an ultra-large 330k alignment in only 4.5 h, which is 7.8× and 3.5× faster than the sequential and best parallel FastTree-2 times, respectively. Availability and implementation VeryFastTree is available at the GitHub repository: https://github.com/citiususc/veryfasttree. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
36
Issue :
17
Database :
Complementary Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
147074786
Full Text :
https://doi.org/10.1093/bioinformatics/btaa582