Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences

Open Access

Peer-reviewed

Research Article

Zhang Zhang,

Affiliation Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America
⨯
Jeffrey P. Townsend

* E-mail: Jeffrey.Townsend@Yale.edu

Affiliation Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut, United States of America
⨯

Reader Comments

A major analytical challenge in computational biology is the detection and description of clusters of specified site types, such as polymorphic or substituted sites within DNA or protein sequences
http://ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1000421#article1.front1.article-meta1.abstract1.p1

http://www.scivee.tv/node/12250

No competing interests declared.

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