Academic Journal

Improving multiple sequence alignment by using better guide trees.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Improving multiple sequence alignment by using better guide trees.
Συγγραφείς: Qing Zhan, Yongtao Ye, Tak-Wah Lam, Siu-Ming Yiu, Yadong Wang, Hing-Fung Ting
Πηγή: BMC Bioinformatics; 2015 Suppl 5, Vol. 16, p1-6, 6p, 4 Charts, 2 Graphs
Περίληψη: Progressive sequence alignment is one of the most commonly used method for multiple sequence alignment. Roughly speaking, the method first builds a guide tree, and then aligns the sequences progressively according to the topology of the tree. It is believed that guide trees are very important to progressive alignment; a better guide tree will give an alignment with higher accuracy. Recently, we have proposed an adaptive method for constructing guide trees. This paper studies the quality of the guide trees constructed by such method. Our study showed that our adaptive method can be used to improve the accuracy of many different progressive MSA tools. In fact, we give evidences showing that the guide trees constructed by the adaptive method are among the best. [ABSTRACT FROM AUTHOR]
Copyright of BMC Bioinformatics is the property of BioMed Central and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
Περιγραφή
ISSN:14712105
DOI:10.1186/1471-2105-16-S5-S4