FRESCo: finding regions of excess synonymous constraint in diverse viruses

Background The increasing availability of sequence data for many viruses provides power to detect regions under unusual evolutionary constraint at a high resolution. One approach leverages the synonymous substitution rate as a signature to pinpoint genic regions encoding overlapping or embedded func...

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Bibliographic Details
Main Authors: Lin, Michael F. (Author), Jungreis, Irwin (Contributor), Kellis, Manolis (Contributor), Sabeti, Pardis C (Author), Sealfon, Rachel S. (Contributor), Wolf, Maxim Y. (Contributor)
Other Authors: Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: BioMed Central, 2015-06-29T17:30:11Z.
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