As part of the 2012 Analyzing Next-Generation Sequencing Data course, I've been trying out ipython notebook for the tutorials.
In previous years, our tutorials all looked like this: Short read assembly with Velvet -- basically, reStructuredText files integrated with Sphinx. This had a lot of advantages, including Googleability and simplicity; but …
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I'm a pretty big advocate of anything open -- open source, open access, and open science, in particular. I always have been. And now that I'm a professor, I've been trying to figure out how to actually practice open science effectively
What is open science? Well, I think of it as …
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I'm going to pick on Mick Watson today. (It's OK. He's just a foil for this discussion, and I hope he doesn't take it too personally.)
Mick made the following comment on my earlier Big Data Biology blog post:
read moreI do wonder whether there is just a bit too much …
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I'm out at a Cloud Computing for the Human Microbiome Workshop and I've been trying to convince people of the importance of digital normalization. When I posted the paper the reaction was reasonably positive, but I haven't had much luck explaining why it's so awesome.
At the workshop, people were …
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I'm pretty proud of our most recently posted paper, which is on a sequence analysis concept we call digital normalization. I think the paper is pretty kick-ass, but so is the way in which we're approaching replication. This blog post is about the latter.
(Quick note re "replication" vs "reproduction …
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We just posted a pre-submission paper to arXiv.org:
A single pass approach to reducing sampling variation, removing errors, and scaling de novo assembly of shotgun sequences
Authors: C. Titus Brown, Adina Howe, Qingpeng Zhang, Alexis B. Pyrkosz, and Timothy H. Brom
Paper Web site, with source code …
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