New Methods in Evolutionary Research
Edited by Rob Freckleton and Bob O'Hara
When we launched Methods in Ecology and Evolution we were keen to encompass a range of methodologies, and to give authors the chance to publish as wide a variety of methods as possible, as well as maximise the audience of ecologists and evolutionary biologists that had access to this work. In this Virtual Issue, we highlight the variety of papers and evolutionary methods that we have published in the first 2.5 years of MEE.
The breadth of subjects is remarkable – these range from the analysis of barcodes and DNA sequences, to citizen science approaches for collecting data. Population genetics and macroevolution have been well represented, while statistical methods papers have been popular with a healthy number of submissions, as well as downloads by our readers.
Of course, as a journal that aims to link evolution and ecology, this is only one part of the papers we publish and in some ways the division between ecology and evolution is slightly artificial as many methods are cross-cutting. However here we wish to take the opportunity to showcase the excellent papers that have a largely evolutionary content.
Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring
Douglas W. Yu, Yinqiu Ji, et al.
Barcoding’s next top model: an evaluation of nucleotide substitution models for specimen identification
Rupert A. Collins, Laura M. Boykin, et al.
DNA Sequence Analysis
TempNet: a method to display statistical parsimony networks for heterochronous DNA sequence data
Stefan Prost and Christian N. K. Anderson
Directed terminal restriction analysis tool (DRAT): an aid to enzyme selection for directed terminalrestriction fragment length polymorphisms
David M. Roberts, Pietà G. Schofield, Suzanne Donn and Tim J. Daniell
MOTMOT: models of trait macroevolution on trees
Gavin H. Thomas and Robert P. Freckleton
RBrownie: an R package for testing hypotheses about rates of evolutionary change
Conrad J. Stack, et al.
Fast likelihood calculations for comparative analyses
Robert P. Freckleton
How to measure and test phylogenetic signal
Tamara Münkemüller, Sébastien Lavergne, et al.
abc: an R package for approximate Bayesian computation (ABC)
Katalin Csilléry, Olivier François and Michael G. B. Blum
smatr 3- an R package for estimation and inference about allometric lines
David I. Warton, Remko A. Duursma, Daniel S. Falster and Sara Taskinen
On thinning of chains in MCMC
William A. Link and Mitchell J. Eaton
Evolution MegaLab: a case study in citizen science methods
Jenny P. Worthington, et al.
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