NEW YORK (GenomeWeb News) – Amino acid covariance networks — maps of amino acids that vary together — can help predict which individuals will respond to existing hepatitis C virus treatments, new research suggests.
 

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Researchers hope to tease out the signature effects that different carcinogens leave on the genome to determine their contributions to disease, Mosaic reports.

The Wall Street Journal looks into the cost of new gene therapies.

An Imperial College London-led team reports that it was able to use a gene drive to control a population of lab mosquitos.

In PNAS this week: genomic effects of silver fox domestication, limited effect of mitochondrial mutations on aging in fruit flies, and more.