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Bioinformatics = high performance parallel computer architectures /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Bioinformatics/ edited by Bertil Schmidt.
Reminder of title:	high performance parallel computer architectures /
other author:	Schmidt, Bertil.
Published:	Boca Raton :CRC Press, : 2010.,
Description:	370 p.
Subject:	Bioinformatics - Data processing. -
Online resource:	Distributed by publisher. Purchase or institutional license may be required for access.
ISBN:	9781439814895 (e-book : PDF)

Bioinformatics = high performance parallel computer architectures /
Bioinformaticshigh performance parallel computer architectures /[electronic resource] :edited by Bertil Schmidt. - Boca Raton :CRC Press,2010. - 370 p.

Includes bibliographical references and index.

Algorithms for bioinformatics / Bertil Schmidt -- Introduction to GPGPUs and massively-threaded programming / Rob Farber -- FPGA: architecture and programming / Douglas Maskell -- Parallel algorithms for alignments on the cell be / Abhinav Sarje, Srinivas Aluru -- Orchestrating the phylogenetic likelihood function on emerging parallel architectures / Alexandros Stamatakis -- Parallel bioinformatics algorithms for CUDA-enabled GPUs / Yongchao Liu, Bertil Schmidt, Douglas Maskell -- CUDA error correction method for high-throughput short-read sequencing data / Haixiang Shi, Weiguo Liu, Bertil Schmidt -- FPGA acceleration of seeded similarity search / Arpith Jacob, Joseph Lancaster, Jeremy Buhler, Roger Chamberlain -- Seed-based parallel protein sequence comparison combining multithreading, GPU and FPGA technologies / Dominique Lavenier, Van-Hoa Nguyen -- Database searching with profile hidden markov models on reconfigurable and many-core architectures / John Paul Walters, Vipin Chaudhary, Bertil Schmidt -- Cobacobana: a massively parallel FPGA-based computer architecture / Manfred Schimmler, Lars Wienbrandt, Tim G�uneysu, Jost Bissel -- Accelerating string set matching for bioinformatics using FPGA hardware / Yoginder S. Dandass -- Reconfigurable neural system and its application to dimeric protein binding site identification / Feng Lin, Maria Stepanova -- Parallel FPGA search engine for protein identification / Daniel Coca, Istvan Bogdan, RoBert J. Beynong.

Mode of access: World Wide Web.

ISBN: 9781439814895 (e-book : PDF)Subjects--Topical Terms:

848142
Bioinformatics
--Data processing.Index Terms--Genre/Form:

554714
Electronic books.

Bioinformatics = high performance parallel computer architectures /
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300 $a 370 p.
504 $a Includes bibliographical references and index.
505 0 $a Algorithms for bioinformatics / Bertil Schmidt -- Introduction to GPGPUs and massively-threaded programming / Rob Farber -- FPGA: architecture and programming / Douglas Maskell -- Parallel algorithms for alignments on the cell be / Abhinav Sarje, Srinivas Aluru -- Orchestrating the phylogenetic likelihood function on emerging parallel architectures / Alexandros Stamatakis -- Parallel bioinformatics algorithms for CUDA-enabled GPUs / Yongchao Liu, Bertil Schmidt, Douglas Maskell -- CUDA error correction method for high-throughput short-read sequencing data / Haixiang Shi, Weiguo Liu, Bertil Schmidt -- FPGA acceleration of seeded similarity search / Arpith Jacob, Joseph Lancaster, Jeremy Buhler, Roger Chamberlain -- Seed-based parallel protein sequence comparison combining multithreading, GPU and FPGA technologies / Dominique Lavenier, Van-Hoa Nguyen -- Database searching with profile hidden markov models on reconfigurable and many-core architectures / John Paul Walters, Vipin Chaudhary, Bertil Schmidt -- Cobacobana: a massively parallel FPGA-based computer architecture / Manfred Schimmler, Lars Wienbrandt, Tim G�uneysu, Jost Bissel -- Accelerating string set matching for bioinformatics using FPGA hardware / Yoginder S. Dandass -- Reconfigurable neural system and its application to dimeric protein binding site identification / Feng Lin, Maria Stepanova -- Parallel FPGA search engine for protein identification / Daniel Coca, Istvan Bogdan, RoBert J. Beynong.
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538 $a Mode of access: World Wide Web.
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