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Evaluating fast maximum likelihood-based phylogenetic programs using empirical phylogenomic data sets
View ORCID ProfileXiaofan Zhou, Xingxing Shen, View ORCID ProfileChris Todd Hittinger, View ORCID ProfileAntonis Rokas
doi: https://doi.org/10.1101/142323
Xiaofan Zhou
1Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, 510642, P.R. China
2Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Department of Plant Pathology, South China Agricultural University, Guangzhou, 510642, P.R. China
Xingxing Shen
3Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
Chris Todd Hittinger
4Laboratory of Genetics, Genome Center of Wisconsin, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA
Antonis Rokas
3Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA
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Posted May 25, 2017.
Evaluating fast maximum likelihood-based phylogenetic programs using empirical phylogenomic data sets
Xiaofan Zhou, Xingxing Shen, Chris Todd Hittinger, Antonis Rokas
bioRxiv 142323; doi: https://doi.org/10.1101/142323
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