z-logo
open-access-imgOpen Access
Article Commentary: Snapshots of Tree Space
Author(s) -
Zheng Wang,
Francesc López-Giréidez,
Jeffrey P. Townsend
Publication year - 2009
Publication title -
evolutionary bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.502
H-Index - 32
ISSN - 1176-9343
DOI - 10.4137/ebo.s3416
Subject(s) - tree (set theory) , computer science , sampling (signal processing) , space (punctuation) , markov chain monte carlo , network topology , theoretical computer science , cluster (spacecraft) , data mining , data science , artificial intelligence , mathematics , bayesian probability , mathematical analysis , filter (signal processing) , computer vision , programming language , operating system
Achievement of the best balance between the accuracy and efficiency is always an important issue when searching a tree space of large data sets. In the 5th issue in 2009, Rodrigo et al used bootstrapped topologies as fixed genealogies to distribute an MCMC analysis across a cluster of computers, resulting in an efficiency yielding results 37 times faster than in the standard MCMC methods. Tree searches can seldom be guided with certainty, so that such snapshots sampling partial but “more-likely” tree space facilitated by parallel programs on computer clusters may provide great promise among a few choices that are computationally affordable when tree space is large and complicated.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom