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    On the use of locality aware distributed hash tables for homology searches over voluminous biological sequence data

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    http://hdl.handle.net/10217/170402
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    Tolooee_colostate_0053N_13379.pdf (837.9Kb)
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    Abstract
    Rapid advances in genomic sequencing technology have resulted in a data deluge in biology and bioinformatics. This increase in data volumes has introduced computational challenges for frequently performed sequence analytics routines such as DNA and protein homology searches; these must also preferably be done in real-time. This thesis proposes a scalable and similarity-aware distributed storage framework, Mendel, that enables retrieval of biologically significant DNA and protein alignments against a voluminous genomic sequence database. Mendel fragments the sequence data and generates an ...
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    Author(s)
    Tolooee, Cameron, author; Pallickara, Sangmi, advisor; Ben-Hur, Asa, committee member; von Fischer, Joseph, committee member

    Date Issued
    2015
    Format
    born digital; masters theses
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    • 2000-2019
    • Theses and Dissertations

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