computational biology

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.

Dana-Farber's MatchMiner adds structure to clinical trial data to automate the pairing of patient genomic profiles to specific cancer research.

The UK-based Dementia Discovery Fund is investing $1.3M in Immuneering's drug-discovery technology in search of new molecular entities for treating Alzheimer's.

Backed by Andreessen Horowitz and Polaris Partners, Camp4 hopes its high-resolution gene maps can shorten and remove risk from the drug development process.

Informaticians at Spain's National Cancer Research Centre develop a methodology for evaluating likely drug efficacy based on specific patient genotypes.

St. Jude Cloud, powered by DNAnexus and Microsoft, offers free access to thousands of WGS records plus cloud-based visualization and computational tools.

The automated tool AMELIE is designed to prioritize candidate genes found in individuals with Mendelian disease, aiding in exome analyses and diagnoses.

The researchers are taking a transcriptome-wide approach to identifying and validating common genes that affect genetic risk in both breast and ovarian cancers.

DCell, a visible neural network, uses deep learning techniques to model cellular behavior almost as accurately as has been observed in laboratory settings. 

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In a commentary at eLife, Brandeis University's Eve Marder calls on researchers to value and pursue truth.

Researchers have developed a way to quickly edit white blood cells, according to the New York Times.

In Science this week: rice gene enables plants to grow quickly in times of flooding, and more.

Education-linked genetic variants could also predict a small portion of a person's social mobility, Newsweek reports.