These are the talk notes for my opening talk at the 2014 Bioinformatics Open Source Conference.
Normally my talk notes aren't quite so extensive, but for some reason I thought it would be a good idea to give an "interesting" talk, so my talk title was "A History of Bioinformatics …
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Note: this post is a guest post by Jerome Kelleher. Please also see his letter to Bioinformatics on this topic.
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(with Adina Howe, James Tiedje, Titus Brown)
I have been working on the assembly of big shotgun metagenomic data from ARMO (Amazon Rain Forest Microbial Observatory) project. The biggest challenge is the huge data size, 2TB in fastq and more than 6 billions reads after read trimming. One lucky thing …
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Or, "can we crowdsource BGI?" ;)
With all of the crazy need surrounding genomic analysis -- most of it on a shoestring budget -- I am thinking about a mildly crazy idea.
What if I offered to computationally analyze people's non-model transcriptomic and metagenomic data for them, in exchange for (a) non-exclusive access …
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At our 2012 course on Analyzing Next-Generation Sequencing Data, we talked quite a bit about future sequencing technologies, as well as about what analyses are reasonably cookbook (and which ones aren't).
Here are my thoughts -- yours welcome!
The basic conclusions about sequencing tech were these:
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Brad Chapman (@chapmanb on twitter) wrote and signed a nice review of my submission to the Bioinformatics Open Source Conference. In his review, he said
My only small suggestion is to include some discussion about your reproducibility work during the talk: the Amazon AMI, documentation and reproducible ipython workflows. This …read more
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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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