K 2 and K2*: efficient alignment-free sequence similarity measurement based on Kendall statistics-Reference-Cited by-同舟云学术

K 2 and K2*: efficient alignment-free sequence similarity measurement based on Kendall statistics

Published:2017-12-15 Issue:10 Volume:34 Page:1682-1689
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Lin Jie¹,Adjeroh Donald A²,Jiang Bing-Hua³,Jiang Yue¹

Affiliation:

1. Department of Software engineering, College of Mathematics and Informatics, Fujian Normal University, Fuzhou, China

2. Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV, USA

3. Department of Pathology, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/10/1682/25118156/btx809.pdf

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5. A wavelet-based feature vector model for DNA clustering;Bao;Genet. Mol. Res. GMR,2015

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