If you're like me, we pretend to care about the science in bioinformatics software. But what we really do is try to find reasons not to outright loathe the software -- because, lud knows, there are usually plenty of reasons to hate it.
In no particular order, here are the top …
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(updated to point to http://arxiv.org/).
Authors: Jason Pell, Arend Hintze, Rosangela Canino-Koning, Adina Howe, James M. Tiedje, C. Titus Brown
Abstract:
The memory requirements for de novo assembly of short-read shotgun sequencing data from complex microbial populations are an increasingly large practical barrier to environmental studies. Here we …read more
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(and some related thoughts on reproducibility in computational science)
In a recent news article on the "data deluge" in biology, I was quoted as saying "It's not at all clear what you do with that data. Doing a comprehensive analysis of it is essentially impossible at the moment." So, naturally …
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This blog post was inspired by two recent events.
First, in response to a NY Times article about the "data deluge" affecting biologists, one of my Facebook friends said something like "stop whining about how hard it is to analyze the data and do some good experiments instead!" I vehemently …
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I'm just on my way back from a JGI workshop on metagenome informatics, and I thought I'd take the opportunity to write up a short review.
The workshop was, frankly, excellent. We saw a bunch of talks on metagenome assembly (my current interest) as well as single-cell sequencing approaches, and …
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As sequencing gets cheaper and cheaper, one would expect the answer for how to best sequence (and assemble!) any given genome would change. Most biologists assume something along these lines: everyone else has achieved some standard coverage (say 10x, or 100x) for their genome, so all we need to do …
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There's been a lot of hooplah in the last year or so about the fact that our ability to generate sequence has scaled faster than Moore's Law over the last few years, and the attendant challenges of scaling analysis capacity; see Figure 1a and 1b, this reddit discussion, and also …
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