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Are Those Genes For Real?

In DNA sequencing, many genes are actually predicted by algorithms but never functionally confirmed. Results from two studies "suggest there's a considerable rate of error creeping into experiments that rely on the gene sequences that are predicted by current algorithms," says a post at Ars Technica. In one published in August in BMC Bioinformatics scientists used a software called MisPred, which scanned protein domains to find unlikely matchups and therefore questionable genes. In another study in PLoS, researchers isolated all the proteins from Arabidopsis cells and mapped the fragments back to the genome. They found that more than 18,000 were from sequences outside known genes, and they identified nearly 800 new genes and corrected for errors in another 700 predicted genes.

The Scan

Billions for Antivirals

The US is putting $3.2 billion toward a program to develop antivirals to treat COVID-19 in its early stages, the Wall Street Journal reports.

NFT of the Web

Tim Berners-Lee, who developed the World Wide Web, is auctioning its original source code as a non-fungible token, Reuters reports.

23andMe on the Nasdaq

23andMe's shares rose more than 20 percent following its merger with a special purpose acquisition company, as GenomeWeb has reported.

Science Papers Present GWAS of Brain Structure, System for Controlled Gene Transfer

In Science this week: genome-wide association study ties variants to white matter stricture in the brain, and more.