NEW YORK (GenomeWeb) – Analyzing genomes of single cells as opposed to several cells in bulk could help tease apart genetic heterogeneity and cellular interactions, but research on single cells has been limited in scope due to the cost of sequencing or library generation, and the difficulties in isolating single cells. However, two research groups, from the University of Washington and Oregon Health & Science University, have now developed methods for analyzing single cells using combinatorial indexing that is scalable to thousands of cells and does not rely on ancillary equipment.

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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.

Jun
26
Sponsored by
Lexogen

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.

Jun
28
Sponsored by
PerkinElmer

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

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
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.