Category Archives: bioinformatics

Polyploidy in the era of GBS

Ploidy, dear reader, is something that I think about literally all the time. It impacts every facet of my research from the field to the bench to the stats used to analyze data sets. It’s been simultaneously the greatest and the … Continue reading

Posted in bioinformatics, evolution, genomics, haploid-diploid, Molecular Ecology, the journal, natural history, plants, speciation | Tagged , , , , | Leave a comment

Molting on the molecular level: how blue crabs become soft-shell crabs

Megan Roegner wrote this post as a final project for Stacy Krueger-Hadfield’s Science Communication course at the University of Alabama at Birmingham. Megan spent her early years in Cape Town, South Africa playing in the tidal pools along the coast and developing … Continue reading

Posted in bioinformatics, blogging, conservation, domestication, evolution, genomics, natural history | Tagged , , , , , | Leave a comment

Music to an amniote’s ears, an “accordion” model of genome size evolution

How did we get where we are? Genetically speaking, that is. A few posts ago, that whole genotype-phenotype question was discussed, how do genomes make plants and animals (and don’t forget the microbes!) look and act how they do. Another … Continue reading

Posted in adaptation, bioinformatics, evolution, genomics | Tagged , , , | 2 Comments

Phylogenetic trees in R using ggtree

Recently, one R package which I like to use for visualizing phylogenetic trees got published. It’s called ggtree, and as you might guess from the name it is based on the popular ggplot2 package. With ggtree, plotting trees in R has … Continue reading

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Handling microbial contamination in NGS data

Until recently, I had given little thought to the potential for unwanted microbial contamination in high throughput sequence data. I suspect that if you’re a molecular ecologist who doesn’t primarily study microbes or work with ancient DNA, you’re in a … Continue reading

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Unbalanced population sampling and STRUCTURE

The utility and intuition offered by the program STRUCTURE, and more generally, the ‘admixture’ model of Pritchard et al. (2000) are unquestioned – with tens of thousands of citations, it retains its lead among the most popular population genetics software. … Continue reading

Posted in bioinformatics, genomics, howto, methods, population genetics, software, STRUCTURE | Tagged , , | 1 Comment

There are more microbes than meet the eye: exploring the genomic diversity in an aquifer

First: it’s Tuesday, November 8th, 2016 – before you even think about putting your feet up and reading this post, I hope you’ve managed to wrangle yourself one of those highly prized “I voted” stickers. Now, on to more microbial … Continue reading

Posted in bioinformatics, community ecology, metagenomics, microbiology, next generation sequencing | Tagged , , | 1 Comment