Category Archives: bioinformatics

Another lesson in genomics experimental design and avoiding batch effects

Twitter has been abuzz with Orna Man and Yoav Gilad’s (re)analysis of the data from a recent PNAS paper: “Comparison of the transcriptional landscapes between human and mouse tissues”. The PNAS paper concluded that the gene expression profiles of different … Continue reading

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Posted in bioinformatics, genomics, next generation sequencing, RNAseq | Tagged , , | 2 Comments

When genomes duplicate

Whole genome duplication events have played an important role in the evolutionary history of plants. Vallejo-Marín et al. (2015) describe origins of a new polyploid species, Mimulus peregrines, found on the Scottish mainland as well as the Orkney Islands. It was formed within … Continue reading

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Sous les mers: cradles or museums of biodiversity?

While thinking about environmental genomics and writing this post on a recent article in Heredity, I interviewed Eric Pante.

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Grasping gorgonians

A recent issue of Heredity focused on the brave new world of environmental genomics. After highlighting the special issue, I started chatting to one of the contributors, Eric Pante and became interested in his work on gorgonians. Eric and his co-authors explored the … Continue reading

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The brave new world of environmental genomics

A new special issue of Heredity reflects on the recent advances in environmental genomics (see other posts about eDNA here and here) and highlights the ways NGS can aid in characterizing complex biological systems. The cryptic, as well as the rare but active … Continue reading

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Gorillas (genomes) in the mist

Mountain gorillas are an endangered great ape subspecies that number around 800 individuals, inhabiting mountain ranges in central Africa. They have been the subject of numerous field studies, but few genetic analyses have been carried out. Xue et al. (2015) sequenced … Continue reading

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Visualizing Linkage Disequilibrium in R

Patterns of Linkage Disequilibrium (LD) across a genome has multiple implications for a population’s ancestral demography. For instance, population bottlenecks predictably result in increased LD, LD between SNP’s in loci under natural selection affect each others rates of adaptive evolution, selfing/inbreeding populations … Continue reading

Posted in bioinformatics, howto, population genetics, R | Tagged , , | 1 Comment

Don’t trust your data: reviewing Bioinformatics Data Skills

There is little debate on the importance of bioinformatics for the present and future of science. As molecular ecologists, we are likely more aware of this than most disciplines due to the data explosion that has accompanied the wide application of … Continue reading

Posted in bioinformatics, book review, genomics, software | Tagged | 2 Comments

F-statistics Manhattan Plots in R

Characterizing differentiation across individual genomes sampled from different populations can be very informative of the demographic processes that resulted in the differentiation in the first place. Manhattan plots have grown to be very popular representations of genome-wide differentiation statistics in … Continue reading

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To sequence a genome or not to sequence a genome, that is the question

In a paper out last month in the Journal of Phycology, Bhattacharya et al. (2015) provide a perspective on the need for more algal genomes. [A] relevant question on the minds of many phycologists might be: do we really need more algal … Continue reading

Posted in bioinformatics, evolution, genomics, horizontal gene transfer, mutation, next generation sequencing, selection | Tagged , , , , | Leave a comment