Category Archives: howto

Making Maps in R, volume 2: ggplots

The open-source statisical programming environment R is truly a Swiss Army knife for molecular ecology. With the right code, R can processes genetic data and trait measurements, analyze how genetic variants relate to traits, reconstruct phylogenetic trees, and illustrate the … Continue reading

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Posted in howto, R, software | Tagged , | 5 Comments

10 simple rules for designing a scientific poster

Conference season is upon us! Around the world, thousands of scientists face a daunting task: designing a scientific poster. It should be sleek, yet informative; eye-catching, yet professional; and most of all it should attract the attention of your future … Continue reading

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How to make the most out of your phylogenetic study

Phylogenetic studies are crucial for ecology and evolution. However, their usefulness for comparative biology or meta-analyses can vary considerably. Especially the inclusion of unidentified species (“Balanus sp.”) obstructs their use in comparative studies. How can I attach life history or morphological data … Continue reading

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Using R to mine species data

Many of us generate more data than we know what to do with (speaking of which: keep an eye out for the 2016 NGS Field Guide, coming soon!), so it’s easy to forget about the piles of data already at our fingertips. Research potential is … Continue reading

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The 2016 Next-Generation Sequencing Field Guide Preview: Zombie Systems and New Hope

After a year of minimal activity, we finally have some significant changes in Next Gen Land. In the 2016 update of the NGS Field Guide, I will continue to give my overall interpretation about the various instruments, but with less … Continue reading

Posted in genomics, howto, methods, RNAseq, transcriptomics | Tagged , , , | 8 Comments

Geographical Heat Maps in R

I go crazy for fancy data visualizations in R, and a figure in a recent publication has had me wondering if there is an easy way to incorporate density distributions (or as in their case, a distribution of f4 statistics, … Continue reading

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Quick and dirty tree building in R

One of the major obstacles to turning your sequence data into phylogenetic trees is choosing (and learning) a tree-building program. Confounding this problem is the fact that most researchers will want to perform numerous, complementary analyses, each of which may … Continue reading

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