What we’re reading: Compressed genomes, drafting genes, and the third post-publication peer reviewer

readers

In the journals

Deorowicz, S., A. Danek, and S. Grabowski. 2013. Genome compression: A novel approach for large collections. Bioinformatics 1–7. doi: 10.1093/bioinformatics/btt460.

More precisely, our novel Ziv-Lempel-style compression algorithm squeezes a single human genome to ~400KB. The key to high compression is to look for similarities across the whole collection, not just against one refer- ence sequence, what is typical for existing solutions.

Kosheleva, K. a, and M. M. Desai. 2013. The dynamics of genetic draft in rapidly adapting populations. Genetics 1–46. doi: 10.1534/genetics.113.156430.

In both asexually reproducing organisms and in regions of low recombination in sexual organisms, the chance congregation of beneficial mutations on competing genetic backgrounds skews evolutionary dynamics. Because of this “clonal interference” effect, the success of a mutation depends not only on its fitness effect, but also on the quality of the genetic background in which it occurs and the fortune of the mutant’s progeny in amassing more beneficial mutations …

In the news

At what point have we shared enough data?

A top-notch long-form piece on the vital importance of gene expression.

How post-publication peer review fails.

An exceptionally detailed guide to the R base graphics package.

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About Jeremy Yoder

Jeremy Yoder is a postdoctoral associate in the Department of Plant Biology at the University of Minnesota. He also blogs at Denim and Tweed and Nothing in Biology Makes Sense!, and tweets under the handle @jbyoder.
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