WSE, a new sequence distance measure based on word frequencies

DOI10.1016/j.mbs.2008.06.001zbMath1160.92032OpenAlexW2006836764WikidataQ51874023 ScholiaQ51874023MaRDI QIDQ1005706

Jun Wang, Xiaoqi Zheng

Publication date: 9 March 2009

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc7185439

zbMATH Keywords

relative entropyphylogenetic analysiscoronavirus phylogenyweighted sequence entropyword composition

Mathematics Subject Classification ID

Problems related to evolution (92D15) Combinatorics on words (68R15) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items

Linear regression model of short \(k\)-word: a similarity distance suitable for biological sequences with various lengths, Extraction of high quality \(k\)-words for alignment-free sequence comparison, A novel statistical measure for sequence comparison on the basis of \(k\)-word counts, A Poisson model of sequence comparison and its application to coronavirus phylogeny

Uses Software

• PHYLIP
• CVTree3

Cites Work

• Unnamed Item
• A measure of the similarity of sets of sequences not requiring sequence alignment.