1. DIB jclub: Spaced Seed Data Structures for De Novo Assembly

    Note: at the Lab for Data Intensive Biology, We're trying out a new journal club format where we summarize our thoughts on the paper in a blog post. For this blog post, Camille wrote the majority of the text and the rest of us added questions and comments.


    Inanç Birol …

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  2. Notes on the "week of khmer"

    Last week we wrote five blog posts about some previously un-publicized features in the khmer software - most specifically, read-to-graph alignment and sparse graph labeling -- and what they enabled. We covered some half-baked ideas on graph-based error correction, variant calling, abundance counting, graph labeling, and assembly evaluation.

    It was, to be …

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  3. Comparing and evaluating assembly with graph alignment

    One of our long-term interests has been in figuring out what the !$!$!#!#%! assemblers actually do to real data, given all their heuristics. A continuing challenge in this space is that short-read assemblers deal with really large amounts of noisy data, and it can be extremely hard to look at assembly …

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  4. Abundance counting of sequences in graphs with graphalign

    De Bruijn graph alignment should also be useful for exploring concepts in transcriptomics/mRNAseq expression. As with variant calling graphalign can also be used to avoid the mapping step in quantification; and, again, as with the variant calling approach, we can do so by aligning our reference sequences to the …

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  5. Graph alignment and variant calling

    There's an interesting and intuitive connection between error correction and variant calling - if you can do one well, it lets you do (parts of) the other well. In the previous blog post on some new features in khmer, we introduced our new "graphalign" functionality, that lets us align short sequences …

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