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100   $a20100223d2010      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aBioinformatics $ehigh performance parallel computer architectures /$fedited by Bertil Schmidt
205   $a1st ed.
210   $aBoca Raton, FL $cCRC Press$d2010
215   $a1 online resource (372 p.)
225 1 $aEmbedded multi-core systems
300   $aDescription based upon print version of record.
311   $a1-4398-5836-5 
311   $a1-322-62742-8 
311   $a1-4398-1488-0 
320   $aIncludes bibliographical references and index.
327   $aFront cover; Contents; Editor; Contributors; Chapter 1: Algorithms for Bioinformatics; Chapter 2: Introduction to GPGPUs andMassively Threaded Programming; Chapter 3: FPGA: Architecture and Programming; Chapter 4: Parallel Algorithms forAlignments on the Cell BE; Chapter 5: Orchestrating the PhylogeneticLikelihood Function on EmergingParallel Architectures; Chapter 6: Parallel Bioinformatics Algorithmsfor CUDA-Enabled GPUs; Chapter 7: CUDA Error Correction Method forHigh-Throughput Short-Read Sequencing Data; Chapter 8: FPGA Acceleration of SeededSimilarity Searching
327   $aChapter 9: Seed-Based Parallel Protein SequenceComparison Combining Multithreading,GPU, and FPGA TechnologiesChapter 10: Database Searching with Profi le-HiddenMarkov Models on Reconfi gurableand Many-Core Architectures; Chapter 11: COPACOBANA: A Massively ParallelFPGA-Based Computer Architecture; Chapter 12: Accelerating String Set Matching forBioinformatics Using FPGA Hardware; Chapter 13: Reconfi gurable Neural System and ItsApplication to Dimeric ProteinBinding Site Identification; Chapter 14: Parallel FPGA Search Enginefor Protein Identification; Index; Back cover
330   $aNew sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive biological understanding. A complilation of recent approaches from prominent researchers, Bioinformatics: High Performance Parallel Computer Architectures discusses how to take advantage of bioinformatics applications and algorithms o
410  0$aEmbedded multi-core systems.
606   $aBioinformatics$xData processing
606   $aParallel processing (Electronic computers)
615  0$aBioinformatics$xData processing.
615  0$aParallel processing (Electronic computers)
676   $a572.80285
701   $aSchmidt$b Bertil$0785834
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910809096003321
996   $aBioinformatics$94055966
997   $aUNINA