eprintid: 1298
rev_number: 8
eprint_status: archive
userid: 20
dir: disk0/00/00/12/98
datestamp: 2015-11-03 15:22:00
lastmod: 2015-11-03 15:24:53
status_changed: 2015-11-03 15:22:00
type: article
metadata_visibility: show
creators_name: Dang, Cao Cuong
creators_name: Le, Sy Vinh
creators_name: Gascuel, Oliver
creators_name: Hazes, Bart
creators_name: Le, Si Quang
creators_id: vinhls@vnu.edu.vn
title: FastMG: a simple, fast, and accurate maximum likelihood procedure to estimate amino acid replacement rate matrices from large data sets
ispublished: pub
subjects: IT
subjects: isi
divisions: fac_fit
abstract: Amino acid replacement rate matrices are a crucial component of many protein analysis systems such as sequence similarity search, sequence alignment, and phylogenetic inference. Ideally, the rate matrix reflects the mutational behavior of the actual data under study; however, estimating amino acid replacement rate matrices requires large protein alignments and is computationally expensive and complex. As a compromise, sub-optimal pre-calculated generic matrices are typically used for protein-based phylogeny. Sequence availability has now grown to a point where problem-specific rate matrices can often be calculated if the computational cost can be controlled.
date: 2014-10-24
date_type: published
id_number: doi: 10.1186/1471-2105-15-341
full_text_status: none
publication: BMC Bioinformatics
refereed: TRUE
issn: 1471-2105
citation:   Dang, Cao Cuong and Le, Sy Vinh and Gascuel, Oliver and Hazes, Bart and Le, Si Quang  (2014) FastMG: a simple, fast, and accurate maximum likelihood procedure to estimate amino acid replacement rate matrices from large data sets.  BMC Bioinformatics .    ISSN 1471-2105