Representatives from Stanford University spinoff Ayasdi told BioInform this week that the firm’s query-free approach to data analysis could reveal hidden insights in data that could result in better drugs and more targeted therapies, while also setting it apart from competing software vendors in the life sciences space.

Ayasdi’s platform, dubbed Ayasdi Iris, is based on a series of machine learning algorithms that search for patterns or anomalies in data and display them as topological networks or shapes.

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Researchers describe a way to share data while keeping it secure, Agence France Presse reports.

In Science this week: genetic mutations typically associated with esophageal cancer are common in older, healthy individuals, and more.

India's Council of Scientific and Industrial Research has a new director-general, according to ScienceInsider.

A new study links more than a hundred genes to autism spectrum disorder, Discover's D-brief blog reports.

Nov
05
Sponsored by
Sophia Genetics

With the Next Generation Sequencing (NGS), genomes sequencing has been democratized over the last decades with the detection of genomic alterations, thus replacing Sanger sequencing.