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GATK on AWS

We’re so excited to announce the result of our work with the AWS Industry Solutions Team today: a “one-stop” approach that lets GATK users take advantage of more AWS features and optimize for low cost, high speed — or both! Check out our open-source solution and an accompanying writeup at AWS for Industries.

Announcement: 10X Validated Partner

For the last four years, we’ve had the privilege of partnering with leading biotech and pharma companies in Boston and beyond to take on some of the toughest challenges in computational biology. In that time, we’ve analyzed data from hundreds of single-cell RNAseq samples, representing millions of cells, generated on 10x Genomics machines — and having seen 10x’s… Read More »Announcement: 10X Validated Partner

Working from Home

Lots of folks in the life sciences are finding themselves suddenly thrown into an involuntary work-from-home situation. Here at Diamond Age we’ve been working remotely from our homes for some time, so we’d like to say “Welcome!” and offer a few hard-won tips to make the transition (hopefully) easier. A few of these are common… Read More »Working from Home

Come visit us December 10th

We’ll be hosting the venerable Boston Computational Biology and Bioinformatics Meetup in Cambridge, at the Asgard, December 10th. Please come join us for food and drinks and much discussion of all things bioinformatics. This meetup is a fantastic place to meet folks who are in the field, whether they’re just starting out or long-time veterans.… Read More »Come visit us December 10th

The challenge of single-cell RNA-seq and differential expression

One of the common analysis tasks we have at Diamond Age is to analyze single cell RNA-seq data. Our customers are largely therapeutics-development biotechs who use this new technology to assess the impact of their development candidates on gene expression in selected cell types. scRNA-seq is a very different beast than its apparent predecessor, bulk… Read More »The challenge of single-cell RNA-seq and differential expression