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An article in this week's issue of Cell describes a new computational model, called NetworKIN, that can determine what kinase works at a phosphorylation site and that improves the accuracy with which signaling networks can be constructed. Researchers led by Rune Linding applied their approach of combining amino acid sequence analysis with text mining of signaling pathway and protein interaction databases to DNA damage signaling.

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A South African university has told the Wellcome Sanger Institute to return DNA samples it has from indigenous African communities, The Times reports.

The University of California, Berkeley's Rasmus Nielsen and Xinzhu Wei have retracted their CCR5 gene paper due to a technical artifact.

 

University of Virginia researchers are exploring a genetic risk test to gauge type 1 diabetes risk, NPR reports.

In PNAS this week: researchers compare two high-grade neuroendocrine lung cancers, height among ancient Europeans, and more.