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Enabling large-scale next-generation sequence assembly with Blacklight.


ABSTRACT: A variety of extremely challenging biological sequence analyses were conducted on the XSEDE large shared memory resource Blacklight, using current bioinformatics tools and encompassing a wide range of scientific applications. These include genomic sequence assembly, very large metagenomic sequence assembly, transcriptome assembly, and sequencing error correction. The data sets used in these analyses included uncategorized fungal species, reference microbial data, very large soil and human gut microbiome sequence data, and primate transcriptomes, composed of both short-read and long-read sequence data. A new parallel command execution program was developed on the Blacklight resource to handle some of these analyses. These results, initially reported previously at XSEDE13 and expanded here, represent significant advances for their respective scientific communities. The breadth and depth of the results achieved demonstrate the ease of use, versatility, and unique capabilities of the Blacklight XSEDE resource for scientific analysis of genomic and transcriptomic sequence data, and the power of these resources, together with XSEDE support, in meeting the most challenging scientific problems.

SUBMITTER: Couger MB 

PROVIDER: S-EPMC4185199 | biostudies-other | 2014 Sep

REPOSITORIES: biostudies-other

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Enabling large-scale next-generation sequence assembly with Blacklight.

Couger M Brian MB   Pipes Lenore L   Squina Fabio F   Prade Rolf R   Siepel Adam A   Palermo Robert R   Katze Michael G MG   Mason Christopher E CE   Blood Philip D PD  

Concurrency and computation : practice & experience 20140901 13


A variety of extremely challenging biological sequence analyses were conducted on the XSEDE large shared memory resource Blacklight, using current bioinformatics tools and encompassing a wide range of scientific applications. These include genomic sequence assembly, very large metagenomic sequence assembly, transcriptome assembly, and sequencing error correction. The data sets used in these analyses included uncategorized fungal species, reference microbial data, very large soil and human gut mi  ...[more]

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