December 13, 2016
Sponsored by
Agilent Technologies

Combining CNV and SNV Detection in a Single Test: An Alternative to Whole-Genome Sequencing


Join or Log in for Access

This content is free
for registered users

Registering provides access to this and other free content.

Register now.

Already have an account?
Login Now.

This webinar discusses a genomic strategy that detects single nucleotide variants and copy number variants in a single assay. This approach serves as a cost-effective alternative to whole-genome sequencing and shows promise for the field of cytogenetics.

Our speaker, Nicolas Chatron of Lyon University Hospital, shares the results of a study using Agilent Technologies’ OneSeq target enrichment panel, which includes a chromosomal backbone of probes mimicking the design of microarray-based comparative genomic hybridization with a theoretical 300kb resolution.

Sponsored by

Lawmakers have asked four direct-to-consumer genetic testing companies to explain their privacy policies and security measures, according to Stat News.

The Trump Administration has proposed a plan to reorganize the federal government, the Washington Post reports.

In Science this week: genetic overlap among many psychiatric disorders, and more.

The Economist writes that an increasing number of scientific journals don't do peer review.

Sponsored by

This webinar outlines a study that sought to characterize the landscape of alternative polyadenylation (APA) in the lung cancer transcriptome in order to gain insight into the role of APA in cancer progression.

Sponsored by

This webinar will review a standardized, high-throughput, and fully automated library prep protocol for human metagenomic analysis.

Sponsored by

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

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.