@inproceedings{e371ee0d57774d49a2d619eb38b039bf,
title = "A visualization quality evaluation method for multiple sequence alignments",
abstract = "Multiple sequence alignments (MSA) method is basic way for the analysis of biology sequences. As dozens of MSA algorithms appears, reasonable and effective quality evaluation method is necessary. Gap-insertion is common phenomenon after MSA, and should be an important factor to evaluate whether MSA is successful. A new MSA score evaluation method was introduced in this paper, which was based on the combination of both row distance of letters and column consensus of sequences. It can be used to evaluate the quality of MSA in the global and local justly and effectively. At same time, two formulas for assessing the distance of different MSA algorithms were derived.",
keywords = "Gap insertion, MSA, Quality evaluation, Visualization",
author = "Hongbin Lee and Bo Wang and Xiaoming Wu and Yonggang Liu and Wei Gao and Huili Li and Xu Wang and Feng He",
year = "2011",
doi = "10.1109/icbbe.2011.5779972",
language = "英语",
isbn = "9781424450893",
series = "5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011",
booktitle = "5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011",
note = "5th International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2011 ; Conference date: 10-05-2011 Through 12-05-2011",
}