Bison, bioinformatics and (meta)barcoding

This is my first post here since April. I’ve spent much of the last three months travelling, holidaying, workshopping and attending two conferences. I had a wonderful time in Adelaide at the Genetics Society of AustralAsia’s 2015 conference and learned about some fascinating new science at the Boden Reseach Conference on Comparative Animal Genomics. But…

Dealing with ugly data: Generalized Estimating Equations (GEE)

Recently I’ve been struggling with incorporating auto-correlation into analyses. Auto-correlation can be accounted for with relative ease when your data are normally distributed or can be transformed to be normally distributed. However, if you’re anything like me, rarely are you so lucky. My data are generally proportional, presence/absence (binary), or count data. And in most…

Behind the Paper: Easy as ABC? Not quite.

I was excited to use Approximate Bayesian Computation (ABC) in my recent paper on the history of black bears in the Central Interior Highlands of the USA. Using ABC I was able to test alternative hypotheses about the history of the populations in the study. This analysis suggested that the bears translocated to the Midwest…

What is ABC analysis?

Approximate Bayesian Computation (ABC) analysis is a computational method that is increasingly being applied to estimate parameter values and model selection in population genetics and phylogenetic. With its rising popularity in genetic studies, many software programs are being designed for ease of use for the biologist. So how does ABC work? Here are the basic…