%0 Journal Article
%@ 1471-2105
%A Dang, Cao Cuong
%A Le, Sy Vinh
%A Gascuel, Oliver
%A Hazes, Bart
%A Le, Si Quang
%D 2014
%F SisLab:1298
%J BMC Bioinformatics
%T FastMG: a simple, fast, and accurate maximum likelihood procedure to estimate amino acid replacement rate matrices from large data sets
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1298/
%X 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.