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.
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
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
At Diamond Age Data Science, we make extensive use of RMarkdown and RStudio. These tools let us merge our analyses and reporting into a single framework and give our customers a way to inspect our methodology and reproduce our analyses on their own (if they wish). They also enable our customers to customize their views… Read More »Tutorial: Scientific reporting from Jupyterlab with R Markdown
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
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
Here we are in that funny week at the end of the year, when the projects have mostly wrapped up and we take a breather and look at both the year behind and the year ahead. In short, 2018 has been an amazing, exciting year with a lot of work and a lot of success.… Read More »2018 in Review
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