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Sophia Genetics' SECRAM

Sophia Genetics and collaborators at Stanford University and the Swiss Federal Institute of Technology Lausanne have released a new privacy technology for securely storing compressed, aligned genomic data and clinical data. According to the developers, the solution uses 18 percent less storage than existing methods and prevents unsolicited use of personal data by unauthorized parties. Full details of the technology, named Selective retrieval on Encrypted and Compressed Reference-oriented Alignment Map (SECRAM), are provided in a paper that was published recently in Genome Research. The partners have also made the software available on github.

The Scan

NFTs for Genome Sharing

Nature News writes that non-fungible tokens could be a way for people to profit from sharing genomic data.

Wastewater Warning System

Time magazine writes that cities and college campuses are monitoring sewage for SARS-CoV-2, an approach officials hope lasts beyond COVID-19.

Networks to Boost Surveillance

Scientific American writes that new organizations and networks aim to improve the ability of developing countries to conduct SARS-CoV-2 genomic surveillance.

Genome Biology Papers on Gastric Cancer Epimutations, BUTTERFLY, GUNC Tool

In Genome Biology this week: recurrent epigenetic mutations in gastric cancer, correction tool for unique molecular identifier-based assays, and more.