Literature DB >> 17658946

Retraction: Measures of clade confidence do not correlate with accuracy of phylogenetic trees.

Barry G Hall, Stephen J Salipante.   

Abstract

Entities:  

Year:  2007        PMID: 17658946      PMCID: PMC1924872          DOI: 10.1371/journal.pcbi.0030158

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


× No keyword cloud information.
In PLoS Computational Biology, volume 3, issue 3, doi:10.1371/journal.pcbi.0030051: As a result of a bug in the Perl script used to compare estimated trees with true trees, the clade confidence measures were sometimes associated with the incorrect clades. The error was detected by the sharp eye of Professor Sarah P. Otto of the University of British Columbia. She noticed a discrepancy between the example tree in Figure 1B and the results reported for the gene nuoK in Table 1, and requested that she be sent all ten nuoK Bayesian trees. She painstakingly did a manual comparison of those trees with the true trees, concluded that for that dataset there was a strong correlation between clade confidence and the probability of a clade being true, and suggested the possibility of a bug in the Perl script. Dr. Otto put in considerable effort, and we want to acknowledge the generosity of that effort. The major conclusion of our paper, as given in its title, is therefore invalid, and the paper must be retracted. It is important to stress that the responsibility for the necessity of retracting our paper is entirely mine (Barry Hall), and that my coauthor Stephen J. Salipante bears none of the responsibility. I wrote the Perl script and failed to check its accuracy sufficiently. We have now corrected the script and reanalyzed the trees in Tables 1–6. The results show that there are strong correlations between clade confidence and the probability that a clade is valid for Bayesian posterior probabilities and for Maximum Likelihood bootstrap percentages and weaker correlations for Maximum Likelihood aLRT values. We have prepared a new paper describing this reanalysis and the results achieved and have submitted it for publication.
  4 in total

1.  Striving for transparent and credible research: practical guidelines for behavioral ecologists.

Authors:  Malika Ihle; Isabel S Winney; Anna Krystalli; Michael Croucher
Journal:  Behav Ecol       Date:  2017-03-14       Impact factor: 2.671

2.  Ten simple rules on writing clean and reliable open-source scientific software.

Authors:  Haley Hunter-Zinck; Alexandre Fioravante de Siqueira; Váleri N Vásquez; Richard Barnes; Ciera C Martinez
Journal:  PLoS Comput Biol       Date:  2021-11-11       Impact factor: 4.475

3.  Software testing in microbial bioinformatics: a call to action.

Authors:  Boas C L van der Putten; C I Mendes; Brooke M Talbot; Jolinda de Korne-Elenbaas; Rafael Mamede; Pedro Vila-Cerqueira; Luis Pedro Coelho; Christopher A Gulvik; Lee S Katz
Journal:  Microb Genom       Date:  2022-03

4.  Rampant software errors may undermine scientific results.

Authors:  David A W Soergel
Journal:  F1000Res       Date:  2014-12-11
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.