期刊
BIOINFORMATICS
卷 26, 期 19, 页码 2455-2457出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btq429
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资金
- Joint Division of Mathematical Sciences/National Institute of General Medical Sciences Mathematical Biology Initiative [NSF-0714991]
- National Institutes of Health [AI43638, AI47745, AI57167]
- University of California [IS02-SD-701]
- University of California, San Diego Center for AIDS Research/NIAID [AI36214]
- Royal Society
- Canadian Institutes of Health Research (CIHR) [200802HFE]
Datamonkey is a popular web-based suite of phylogenetic analysis tools for use in evolutionary biology. Since the original release in 2005, we have expanded the analysis options to include recently developed algorithmic methods for recombination detection, evolutionary fingerprinting of genes, codon model selection, co-evolution between sites, identification of sites, which rapidly escape host-immune pressure and HIV-1 subtype assignment. The traditional selection tools have also been augmented to include recent developments in the field. Here, we summarize the analyses options currently available on Datamonkey, and provide guidelines for their use in evolutionary biology.
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