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Recently, I had the opportunity to review a batch of applications for newly-opened positions at Diamond Age. These resumes were different – they were redacted, like top-secret government files. Names, institutions, and dates older than seven years were hidden, leaving only the essential information to guide my evaluation. I was surprised at how much this… Read More »Resume redaction benefits everyone (including me)

Long-read sequencing technologies have revolutionized the field of genomics in recent years. These advances have opened up new avenues for biological discovery and drug development, enabling scientists to identify novel drug targets and develop personalized therapies. Diamond Age Data Science has successfully completed several client projects involving long read sequencing in a variety of applications… Read More »Long-read sequencing in drug discovery

I would like to share my optimism about two recent developments in the world of drug discovery.

Spatial transcriptomics profiles RNA expression in hundreds of areas of tissue without dissociating cells. It provides a 2D map of expression overlaid on a tissue slide, allowing researchers to focus on RNA expression in specific areas of the tissue.

I am delighted to share that Diamond Age is an Amazon Web Services (AWS) Partner supporting the launch of Amazon Omics—announced yesterday at rRe:Invent. Amazon Omics is a new, fully managed service to help scientists work with genomic and transcriptomics data.   As an AWS Partner working with Amazon Omics, we are excited to help clients… Read More »Diamond Age is a Launch Partner for Amazon Omics

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.

Michele Busby wrote a blog post we wish we’d written. (Then again, if we had been the ones to write it, the shout out to DA at the end might have sounded a bit shameless….) We do have one change we’d make to her biotech stack: Python is great and we agree it’s the place… Read More »So you want to start a Biotech

We don’t usually give away our advice for free (!) — but recently, we sat down with 10x Genomics to talk about common pitfalls in single-cell analysis and how to avoid them. Check out their blog post to learn what we think are the five most important things to know about working with single-cell data.

Michael DeRan is one of Diamond Age’s experienced scRNAseq analysts. He’ll be participating in a panel discussion on scRNAseq data analysis at 10X Genomics’ Americas 2020 User Group Meeting. It’s virtual, of course, so you can join in and watch the conversation led by Anushka Brownly of 10X. 4:30 EST, 2020/10/09.