
Really like the plot in the The genomic basis of adaptive evolution in threespine…

Read the paper: http://goo.gl/SDVwV
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Read the paper: http://goo.gl/SDVwV
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Talking about expected de-novo mutations per person:
"As a consequence, protein-coding sequences are inherently more mutable. Taking this into account, the expected number of de novo events per person in the exome is a shade over 1. However, current exome sequencing technologies do not capture all regions equally well (and some regions aren’t captured at all), which revises down the expectation to 0.87 per person.
It’s worth emphasizing these numbers: that means the majority of people who have their exome sequenced will be found to carry at least one de novo mutation in a protein-coding gene, even if they are perfectly healthy. That means that human geneticists must be extremely cautious in assigning disease-causing status to such mutations."
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Guest post by Ben Neale: Evaluating the impact of de novo coding mutation in autism « Genomes Unzipped
[Dr. Neale is currently an Assistant in Genetics in the Analytic and Translational Genetics Unit at Massachusetts General Hospital and Harvard Medical School and an affiliate of the Broad Institute of…
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Reshared post from +Sander Timmer
Impressive pictures at +TIME – the Bosnian conflict already 20 years ago….
20 Years Later: The Bosnian Conflict in Photographs | LightBox | TIME.com
If the last lines of the 20th century were written in Moscow in December 1991 with the dissolution of the Soviet Union, the prelude to the 21st century was written months later—and 20 years ago this m…
Reshared post from +Albert Vilella
Wellcome Trust Genome Campus (Sanger Institute and EBI)
The font AdobePiStd is missing. Affected text will be displayed using a substitute font.
Anyone any idea how to get the correct font into Adobe so that I can import ggplot2 PDFs instead of PNGs?
ggplot2 pdf import in Adobe Illustrator missing font AdobePiStd
I created several simple ggplot2 plots and saved them to PDF files using the following commands: p <- ggplot(plotobject, aes(x=Pos, y=Pval),res=300) ggsave(plot=p,height=6,width=6,dpi=200, filename...