Real Time Genomics has tapped Francisco De La Vega to head the firm's commercial operations as VP of genome science. De La Vega spent 13 years at Applied Biosystems, where he was a scientific fellow and VP of next-generation sequencing applications. He also was a visiting professor at the Department of Genetics of the Stanford School of Medicine, where he conducted research in population genetics, and he was a member of the steering committee of the 1000 Genomes Project Consortium.

Get the full story with
GenomeWeb Premium

Only $95 for the
first 90 days*

GenomeWeb Premium gives you:
✔ Full site access
✔ Interest-based email alerts
✔ Access to archives

Never miss another important industry story.

Try GenomeWeb Premium now.

You may already have institutional access!

Check if I qualify.

Already a GenomeWeb or 360Dx Premium member?
Login Now.

*Before your trial expires, we’ll put together a custom quote with your long-term premium options.

Not ready for premium?

Register for Free Content
You can still register for access to our free content.

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.

Oct
23
Sponsored by
PerkinElmer

This webinar will address a range of methods for optimizing small RNA library preparation.

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.

Nov
29
Sponsored by
Schott

This webinar will discuss how understanding the relative performance characteristics of glass and polymer substrates for in vitro diagnostic applications such as microarrays and microfluidics can help to optimize diagnostic performance.