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Title: EM-Coffee: An improvement of M-Coffee
Authors: Tuan, Nguyen Ha Anh
Cuong, Ha Tuan
Dung, Nguyen Hoang
Vinh, Le Sy
Christopher J., Skousen
Phuong, Tu Minh
Issue Date: 2010
Publisher: H. : ĐHQGHN
Abstract: Multiple sequence alignment is a basic of sequence analysis. In the development of multiple sequence alignment (MSA) approaches, M-Coffee [1] was proposed as a meta-method for assembling outputs from different individual multiple aligners into one single MSA to boost the accuracy. Authors showed that M-Coffee outperformed individual alignment methods. In this paper, we propose an improvement of M-coffee, called EM-Coffee, by introducing a new weighting scheme for combining input alignments. Experiments with benchmark datasets showed that EM-Coffee produced better results than M-Coffee, T-Coffee, Muscle and some other widely used methods. Thus, we provide an alternative option for researchers to align sequences. © 2010 IEEE.
Description: Proceedings - 2nd International Conference on Knowledge and Systems Engineering, KSE 2010 2010, Article number 5632158, Pages 14-19
ISBN: 978-076954213-3
Appears in Collections:Bài báo của ĐHQGHN trong Scopus

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