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Author Archives: Arun Sethuraman
dN(eutralist) = dS(electionist) Part 3
In a previous post, I discussed the phenomenon of background selection, which results in rapid expungement of neutral alleles linked to loci under purifying or negative selection, and conversely, the rapid fixation of neutral variants that are linked to loci of … Continue reading
Posted in adaptation, evolution, genomics, natural history, plants, population genetics, selection
Tagged genomics, population genetics
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Exploring color palettes in R
How often have you had to squint at figures with unpleasant color palettes in a manuscript online or in print, and ultimately given up on distinguishing between fifty (or maybe just around 30) shades of gray? I found the RColorBrewer … Continue reading
Posted in howto, population genetics, R, software, STRUCTURE
Tagged data visualization, methods, population genetics
8 Comments
dN(eutralist) > dS(electionist)? Part 2
Last week’s post dealt with the debate over differences in the efficacy of purifying selection across human genomes. This week, we’ll look at the differences in de novo mutation rates across populations. The human de novo mutation rate has gone … Continue reading
Posted in evolution, mutation, theory
Tagged Evolution, Homo sapiens, natural selection, population genetics
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dN(eutralist) > dS(electionist)? Part 1
In a new series of posts, I will now proffer neutralist and selectionist reviews of recent publications. I point readers to an excellent review of the debate by Masatoshi Nei (2005). Besides being a fun exercise in PoV’s, I hope … Continue reading
Posted in evolution, genomics, mutation, population genetics, theory
Tagged Evolution, genomics, population genetics
15 Comments
Twice Mixed? Testing hypotheses of Neanderthal Introgression
Human migration in, and out of Africa was wrought with complex patterns of admixture (see my previous post summarizing the story so far). Of note were some recent findings on the disparity in amounts of Neanderthal introgression/ancestry between East Asians … Continue reading
Posted in adaptation, bioinformatics, evolution, genomics, mutation, Paleogenomics, population genetics
Tagged Homo sapiens, population genetics
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Genome-wide effects of artificial selection
Humans have been artificially selecting for favorable traits in crops, pets, and livestock over millennia. Years of theoretical predictions and experimental evolution studies have shown the detrimental effects of increased homozygosity, and the population-wide advantages of artificially maintaining heterozygosity. Two … Continue reading
Posted in bioinformatics, evolution, genomics, methods, mutation, population genetics, theory
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Phonemes and Genomes
Human phonemes and genomes are thought to have evolved hand-in-glove out of Africa. Several recent studies have attempted to capture a picture of this global variation in languages and peoples, often supporting (and rejecting) a serial founder model (eg. see … Continue reading
Posted in bioinformatics, evolution, genomics, phylogenetics, population genetics
Tagged data visualization, Evolution, Homo sapiens, population structure
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Discordance in ancestry inference using human mtDNA and autosomes
Mitochondrial haplotypes have been used extensively over the last few decades for inference of a population structure in humans. Key findings from these studies include what has come to be known as the “Mitochondrial Eve” hypothesis (see the controversial Cann, … Continue reading
LaTeX hacks to save your life (and your co-authors')
In light of this recent study by Knauff and Nejasmic (2014) that makes a lot of presumptive leaps on the utility and effectiveness of in scientific writing, my case for the utility of for every equation, reference, table, figure, and … Continue reading
SpaceMix, and a brief history of Spatial Genetics
Incorporating spatial data to inform studies of the population demography of a species has a long history of interest. From inferring geographical clines in Principal Components Analyses (Menozzi et al. 1978), using location data as “informative priors” during model-based estimation … Continue reading
Posted in bioinformatics, howto, population genetics, R, software
Tagged data visualization, isolation by distance, methods, population structure
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