Selected article for: "maximum likelihood and pairwise identity"
Author: Anthony, Simon J.; Epstein, Jonathan H.; Murray, Kris A.; Navarrete-Macias, Isamara; Zambrana-Torrelio, Carlos M.; Solovyov, Alexander; Ojeda-Flores, Rafael; Arrigo, Nicole C.; Islam, Ariful; Ali Khan, Shahneaz; Hosseini, Parviez; Bogich, Tiffany L.; Olival, Kevin J.; Sanchez-Leon, Maria D.; Karesh, William B.; Goldstein, Tracey; Luby, Stephen P.; Morse, Stephen S.; Mazet, Jonna A. K.; Daszak, Peter; Lipkin, W. Ian
Title: A Strategy To Estimate Unknown Viral Diversity in Mammals
  • Document date: 2013_9_3
    • ID: 6lobyyj4_19
    Snippet: Trace sequences were analyzed and edited using Geneious (version 6.0.3). Sequences were aligned with ClustalW and MUSCLE, and phylogenetic trees constructed with neighbor-joining (p-distance, pairwise deletion, 1,000 bootstraps), maximum-likelihood (1,000 bootstraps), and Bayesian (Mr Bayes) algorithms. Models of evolution were selected using ModelTest, and a tree representing a consensus of the different methods is presented. Sequence identity (.....
    Document: Trace sequences were analyzed and edited using Geneious (version 6.0.3). Sequences were aligned with ClustalW and MUSCLE, and phylogenetic trees constructed with neighbor-joining (p-distance, pairwise deletion, 1,000 bootstraps), maximum-likelihood (1,000 bootstraps), and Bayesian (Mr Bayes) algorithms. Models of evolution were selected using ModelTest, and a tree representing a consensus of the different methods is presented. Sequence identity (p-distance, pairwise deletion) was calculated in Mega 5.

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