Category Archives: software

A Primer on the Great BAMM Controversy

Update, 26 August 2016, 2:30PM. A number of readers brought my attention to a series of blog posts by Moore et al. responding to Rabosky’s rebuttal of their published critique of BAMM. I’ve included links to the posts and summarized their … Continue reading

Posted in evolution, phylogenetics, software, speciation | Tagged , , , , , , | 4 Comments

On (mis)interpreting STRUCTURE/ADMIXTURE results

STRUCTURE, ADMIXTURE and other similar software are among the most cited programs in modern population genomics. They are algorithms that estimate allele frequencies and admixture proportions under the premise that sampled genotypes are derived from one of “K” ancestral populations, … Continue reading

Posted in bioinformatics, genomics, howto, methods, population genetics, software, STRUCTURE | Tagged , , , , | Leave a comment

STITCH, in time, could save a lot of array design

A new algorithm for processing DNA sequence data, STITCH, could lower costs for studies of genetic variation within species by reconstructing, or “imputing”, the sequences of individual samples within a larger dataset. The ongoing proliferation of high-throughput (or, ugh, “next … Continue reading

Posted in association genetics, bioinformatics, genomics, methods, next generation sequencing, software | Tagged | Leave a comment

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

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

Data, data everywhere and another tool to use: Taxonomer, a web-tool for metagenomics data analysis

Because sequencing. With all the affordable genome and metagenome sequencing available, we’ve reached an unprecedented point at which we can profile microbial communities more accurately than ever before. For this reason, it’s essential to develop efficient methods for data analysis. … Continue reading

Posted in bioinformatics, community ecology, genomics, metagenomics, methods, microbiology, software | Tagged , , , | 1 Comment

Poorly updated databases will affect your results

If you’re anything like me, your research is heavily dependent on the many wonderful database resources available online. NCBI, UniProtKB, Ensembl, Swiss-Prot, EMBL-EBI, and many other sites and organizations offer highly useful (and often curated) molecular information. Can you imagine … Continue reading

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Docker: making our bioinformatics easier and more reproducible

This is a guest post by Alicia Mastretta-Yanes, a CONACYT Research Fellow assigned to CONABIO, Mexico. Her research uses molecular ecology and genomic tools to examine the effect of changes on species distributions due to historical climate fluctuations as well … Continue reading

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