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Uduak Grace Thomas covers bioinformatics, computational biology, and life science informatics for GenomeWeb. Follow her on Twitter at @UduakGW.
Microba currently offers a direct-to-consumer gut microbiome profile product and plans to release additional products for clinical and research use cases.
The machine-learning-based method identifies relationships between bacterial strains and tracks their movements in less time, using less memory than existing solutions.
The company has begun piloting the software, which is targeted towards bioinformatics companies and clinical laboratories, with early adopters ahead of the planned launch.
In a recent study, a pair of researchers found that CNAs in cancer driver genes are better prognostic markers than mutations in the same genes.
Results from a recent study suggest that considering nearby variants can improve the accuracy of neoantigen selection, resulting in better personalized vaccines for patients.
The planned product, which will target drug-development companies, uses machine learning techniques to predict the outcomes and likelihood of success of clinical trials.
The solution uses machine learning to pare down somatic variant lists, simplifying the task of manually reviewing the output of sequence analysis pipelines.
Some of the metrics used for the PrecisionFDA challenges have begun making their way into broader use, and additional competitions are planned.
Some partners are implementing their solutions on the Azure cloud while others will accept output from Microsoft's genomics pipeline as input into their solutions.
The institutions will develop a cloud-based storage and compute infrastructure for unrestricted and controlled-access data and metadata from NHGRI's projects.
A study of families explores how children transmit SARS-CoV-2, according to the Associated Press.
US Agricultural Research Service scientists have sequenced the genome of the Asian giant hornet.
According to the Economist, pooled testing for COVID-19 could help alleviate strains on testing labs.
In Science this week: MIT researchers outline approach dubbed translatable components regression to predict treatment response among IBD patients.