FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments
Lawrence Berkeley National Laboratory · University of California, Berkeley
Abstract
BACKGROUND: We recently described FastTree, a tool for inferring phylogenies for alignments with up to hundreds of thousands of sequences. Here, we describe improvements to FastTree that improve its accuracy without sacrificing scalability. METHODOLOGY/PRINCIPAL FINDINGS: Where FastTree 1 used nearest-neighbor interchanges (NNIs) and the minimum-evolution criterion to improve the tree, FastTree 2 adds minimum-evolution subtree-pruning-regrafting (SPRs) and maximum-likelihood NNIs. FastTree 2 uses heuristics to restrict the search for better trees and estimates a rate of evolution for each site (the "CAT" approximation). Nevertheless, for both simulated and genuine alignments, FastTree 2 is slightly more…
Citation impact
- FWCI
- 66.83
- Percentile
- 100%
- References
- 39
Authors
3Topics & keywords
- Computer science
- Heuristics
- Scalability
- Maximum likelihood
- Inference
- Pruning
- Tree (set theory)
- Statistics
- Life in Land