The Molecular Ecologist
About A multi-authored blog associated with the journal Molecular Ecology Resources and Molecular Ecology. This blog discusses the latest papers and trends in the field with an aim to provide comprehensive, searchable list of computer programs and other code (e.g. R packages) useful for analysing genetic data. The Molecular Ecologist is a site where novel lab methods and analysis can be posted and discussed.
The Molecular Ecologist's Latest Posts
So a friend nominated me in this viral scheme to raise funds for ALS research, about which you may have heard lately. I’m all in favor of finding a cure for ALS—my grandfather died of it—but I’m also pretty skeptical … Continue reading →
What we’re reading: Genetic diversity and life history, evolutionary rescue, and scientists on social media
In the journals Romiguier, J., P. Gayral, M. Ballenghien, A. Bernard, V. Cahais, A. Chenuil, Y. Chiari, R. Dernat, L. Duret, N. Faivre, E. Loire, J. M. Lourenco, B. Nabholz, C. Roux, G. Tsagkogeorga, A. A.-T. Weber, L. A. Weinert, … Continue reading →
If evolutionary history somehow reverted back to the “warm little pond” in which life began, and started over from almost-scratch, would the re-diversification of life end up, four billion years later, pretty much as we see it today? I think … Continue reading →
What we’re reading: Selection for heterozygosity in threatened seals, testing Fst outlier tests, and …?
In the journals Forcada J and Hoffman JI. 2014. Climate change selects for heterozygosity in a declining fur seal population. Nature. 511:462–465. doi: 10.1038/nature13542. Variation in SAM [Southern Annular Mode of the Antarctic atmosphere] significantly affects most of the life … Continue reading →
What we’re reading: Estimating linkage in resequencing data, genomics of host-parasite coevolution, and scientific work-life balance
In the journals Maruki, T., and M. Lynch. 2014. Genome-wide estimation of linkage disequilibrium from population-level high-throughput sequencing data. Genetics 197:1303–1313. doi: 10.1534/genetics.114.165514. … we developed a maximum-likelihood estimator of linkage disequilibrium for use with error-prone sampling data. Computer simulations … Continue reading →
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