TY  - CONF
ID  - SisLab70
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/70/
A1  - Le, Van Dat
A1  - Dang, Cao Cuong
A1  - Le, Si Quang
A1  - Le, Sy Vinh
Y1  - 2011/10//
N2  - Amino acid substitution models (matrices) play important role for protein phylogenetics analysis and protein sequence alignment. Different approaches have been proposed to estimate amino acid substitution matrices since the time of Day Hoff in 1972. Currently, maximum likelihood approaches have been widely used to estimate popular matrices such as WAG, LG, FLU, etc. Although maximum likelihood approaches result in high quality matrices, they are slow and not applicable to very large datasets. The most time consuming step in estimating matrices is building phylogenetics trees from protein alignments. In this paper, we propose new methods to overcome the obstacle by splitting large alignments into small ones which still contain enough evolutionary information for estimating matrices. Experiments with both Pfam and FLU datasets showed that proposed methods were about three to nine times faster than the best current method while the quality of estimated matrices are nearly the same. Thus, our methods will enable researchers to estimate matrices from very large datasets.
KW  - amino acid substitution models
KW  -  biology computing
KW  -  evolution (biological)
KW  -  evolutionary information
KW  -  genetics
KW  -  maximum likelihood approaches
KW  -  maximum likelihood estimation
KW  -  phylogenetics trees
KW  -  protein phylogenetics analysis
KW  -  protein sequence alignment
KW  -  Proteins
KW  -  trees (mathematics)
TI  - A Fast and Efficient Method for Estimating Amino Acid Substitution Models
SP  - 85 
AV  - none
EP  - 91
T2  - 2011 Third International Conference on Knowledge and Systems Engineering (KSE)
ER  -