1. Paper draft: Scaling metagenome sequence assembly with probabilistic de Bruijn graphs

    (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 …
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  2. Course: Analyzing Next-Generation Sequencing Data (2011 version)

    The second iteration of our bioinformatics summer course, Analyzing Next-Generation Sequencing Data, just finished. It was a great success, at least judging from the comments that people made to us personally; the evaluations aren't yet complete.

    The what: a two week course on analyzing next-gen sequencing data, using the Amazon …

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  3. My new data analysis pipeline code

    First, I write a recipe file, 'metagenome.recipe', laying out my job description for, say, sequence trimming and assembly with Velvet:

    fasta_file soil-data.fa
    
    qc_filter min_length=50 remove_Ns=true
    
    graph_filter min_length=400
    
    velvet_assemble k=33 min_length=1000 scaffolding=True
    

    Then I specify machine parameters, e.g. 'bigmem.conf':

    [defaults]
    n_threads …
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