Category Archives: bioinformatics

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

Making ecology “count”: a review of the why and how of molecular ecology  

It’s likely that everyone has been asked by either a friend or family member “What do you do?” Which, depending on what level of detail you shoot for, might be relatively straight forward. The follow-up question, however, can be a … Continue reading

Posted in bioinformatics, community, community ecology, metagenomics | Tagged , , , | 1 Comment

When your programming may be inadequate to the task: new options for metagenome analysis

There’s a lot of data in the form of metagenomes out there, and picking apart those mountains of data to uncover meaningful results is difficult. Recently, we received a suggestion from a reader to discuss a recent program (CLARK-S) developed … Continue reading

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