A few weeks back, a journalist contacted me about my old blog post comparing physics and biology, and amidst other conversation, I pointed them at my latest blog post on data and said that I thought a lot of (molecular) biologists were "culturally confused about data". The next question was …
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Here at the Lab for Data-Intensive Biology (TM) we are constantly trying to explore new ideas for advancing the practice of biological data sciences. Below are some ideas that originated with or were sharpened by conversations with Greg Wilson (Executive Director, Software Carpentry) and Tracy Teal (Project Lead, Data Carpentry …
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We just posted a new preprint (well, ok, a few weeks back)! The preprint title is "Crossing the streams: a framework for streaming analysis of short DNA sequencing reads", by Qingpeng Zhang, Sherine Awad, and myself. Note that like our other recent papers, this paper is 100% reproducible, with all …
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I've just opened applications for the 2015 summer course on Analyzing Next Generation Sequencing Data. The course will run from August 10th through August 21st; for details, see the course information page.
This year there will also be a third week of the course that is invitation-only. This third week …
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The other day I was contacted by someone whose student wants to attend the MSU NGS course in 2015, because they are interested in learning how to data integration with (among other things) metagenome data. My response was "we don't cover that in the course", which isn't very helpful ;).
So …
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On March 19th and 20th, the Center for Open Science hosted a small meeting in Charlottesville, VA, convened by COS and co-organized by Kaitlin Thaney (Mozilla Science Lab) and Titus Brown (UC Davis). People working across the open science ecosystem attended, including publishers, infrastructure non-profits, public policy experts, community builders …
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On a recent west coast speaking junket where I spoke at OSU, OHSU, and VanBUG (Brown PNW '15!), I put together a new talk that tried to connect our past work on scaling metagenome assembly with our future work on driving data sharing and data integration. As you can maybe …
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