Bayesian Estimation of Substitution Rates from Ancient DNA Sequences with Low Information Content | Zendy

Simon Y. W. Ho | Zendy; Robert Lanfear | Zendy; Matthew J. Phillips | Zendy; Ian Barnes | Zendy; Jessica A. Thomas | Zendy; SergiosOrestis Kolokotronis | Zendy; Beth Shapiro | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Bayesian Estimation of Substitution Rates from Ancient DNA Sequences with Low Information Content

Author(s) -

Simon Y. W. Ho,

Robert Lanfear,

Matthew J. Phillips,

Ian Barnes,

Jessica A. Thomas,

SergiosOrestis Kolokotronis,

Beth Shapiro

Publication year - 2011

Publication title -

systematic biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 7.128

H-Index - 182

eISSN - 1076-836X

pISSN - 1063-5157

DOI - 10.1093/sysbio/syq099

Subject(s) - substitution (logic) , biology , bayesian probability , content (measure theory) , estimation , evolutionary biology , bayes estimator , statistics , computational biology , genetics , mathematics , computer science , mathematical analysis , management , economics , programming language

1Centre for Macroevolution and Macroecology, Research School of Biology, Australian National University, Canberra, ACT 0200, Australia; 2School of Biological Sciences, University of Sydney, Sydney, NSW 2006, Australia; 3School of Biological Sciences, Royal Holloway University of London, Egham, Surrey TW20 0EX, UK; 4Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, NY 10024, USA; and 5Department of Biology, The Pennsylvania State University, University Park, PA 16802, USA; ∗Correspondence to be sent to: School of Biological Sciences, Macleay Building A12, University of Sydney, Sydney, NSW 2006, Australia; E-mail: simon.ho@sydney.edu.au.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research