Informatics

News on bioinformatics, software, genome analysis, variant classification, and IT in genetics, genomics, and molecular diagnostics.

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

Elucidata, which makes software to support drug discovery, recently released a metabolomics analysis platform that includes machine learning technology.

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.

With its purchase of decision support technology maker Interactive Biosoftware, Sophia looks to extend its AI platform deeper into NGS interpretation.

Linguamatics' I2E natural language processing engine helps Sanofi match HLA alleles with multiple sclerosis and associated drug treatments.

A new report highlights the potential threats posed by advances in synthetic biology, NPR reports.

A Bloomberg reporter tried to get her genetic data deleted, but found it's not so simple to do.

Johns Hopkins University's Steven Salzberg and his colleagues have come up with a new estimate for the number of human genes, Nature News reports.

In Genome Research this week: study of intra-tumor heterogeneity, workflow resources for EPIGEN-Brazil, and more.

Jun
21
Sponsored by
Roche

This webinar will provide a detailed look at how a genomics lab implemented next-generation sequencing (NGS) liquid biopsy assays into its in-house clinical research program.

Jul
10
Sponsored by
Qiagen

This webinar offers a look at how an advanced genetics laboratory implemented and validated a commercial bioinformatics system to help scale its operations.

Jul
11
Sponsored by
Genomenon

This webinar will discuss an approach for automating variant classification based on the American College of Medical Genetics and Genomics guidelines.

Jul
12
Sponsored by
Canon BioMedical

This webinar will discuss a project that is analyzing the “Human Brainome” – genome, transcriptome, proteome, and phenome interaction data -- to gain insights into Alzheimer’s disease pathogenesis.