computational biology

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.

With an SBIR Phase II grant in hand, Michigan startup Parabricks is adding both speed and AI to variant calling as it eyes a Series A round next year.

The institutions will develop a cloud-based storage and compute infrastructure for unrestricted and controlled-access data and metadata from NHGRI's projects.

One of the largest repositories of molecular brain cancer data in the world, the enhanced REMBRANDT is more comprehensive than an earlier NCI-hosted version.

While "genomical" has not supplanted "astronomical" in the lexicon, geneticist Gene Robinson believes data scientists understand the sheer size of genomic information.

The group, called GOBLET, has turned its focus to more advanced courses, harmonizing curricula, and reaching out to high schoolers.

Research presented at the Intelligent Systems for Molecular Biology conference shows promise in uncovering more SNP-phenotype links in GWAS.

Organizers of a data analysis challenge remain hopeful that a recent update to the Connectivity Map resource will lead to breakthroughs in DILI detection by next year.

Multi-Omics Factor Analysis looks for underlying causes of tumor variations by parsing and weighting genomic, epigenomic, transcriptomic, proteomic, and metabolomic data.