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A blog post at Ars Technica describes a recently published paper in PLoS Computational Biology that used search engine algorithms to predict best therapeutic drug combinations. “The basic algorithm used by the researchers involves walking through a tree with nodes that are combinations of the drugs and doses present in the system,” writes Matt Ford.

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Three genetic testing companies form a coalition to influence how Congress considers genetic privacy, The Hill reports.

University of California, San Diego researchers investigate how skin care products influence the skin microbiome, Scientific American reports.

The Wall Street Journal examines billing codes used by uBiome.

In PNAS this week: links between lung adenocarcinoma and lncRNA, algorithm to impute and cluster Hi-C interaction profiles from single cells, and more.