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Bioinformatics - new book
ISBN: 9781439858363
High Performance Parallel Computer Architectures New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantitie… More...
High Performance Parallel Computer Architectures New 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 on a variety of modern parallel architectures. Two factors continue to drive the increasing use of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis-which have led to an exponential growth in the amount of digital biological data-and the multi- and many-core revolution within computer architecture.Presenting key information about how to make optimal use of parallel architectures, this book:Describes algorithms and tools including pairwise sequence alignment, multiple sequence alignment, BLAST, motif finding, pattern matching, sequence assembly, hidden Markov models, proteomics, and evolutionary tree reconstructionAddresses GPGPU technology and the associated massively threaded CUDA programming modelReviews FPGA architecture and programmingPresents several parallel algorithms for computing alignments on the Cell/BE architecture, including linear-space pairwise alignment, syntenic alignment, and spliced alignmentAssesses underlying concepts and advances in orchestrating the phylogenetic likelihood function on parallel computer architectures (ranging from FPGAs upto the IBM BlueGene/L supercomputer)Covers several effective techniques to fully exploit the computing capability of many-core CUDA-enabled GPUs to accelerate protein sequence database searching, multiple sequence alignment, and motif findingExplains a parallel CUDA-based method for correcting sequencing base-pair errors in HTSR dataBecause the amount of publicly available sequence data is growing faster than single processor core performance speed, modern bioinformatics tools need to take advantage of parallel computer architectures. Now that the era of the many-core processor has begun, it is expected that future mainstream processors will be parallel systems. Beneficial to anyone actively involved in research and applications, this book helps you to get the most out of these tools and create optimal HPC solutions for bioinformatics. Bioinformatics: New 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 on a variety of modern parallel architectures. Two factors continue to drive the increasing use of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis-which have led to an exponential growth in the amount of digital biological data-and the multi- and many-core revolution within computer architecture.Presenting key information about how to make optimal use of parallel architectures, this book:Describes algorithms and tools including pairwise sequence alignment, multiple sequence alignment, BLAST, motif finding, pattern matching, sequence assembly, hidden Markov models, proteomics, and evolutionary tree reconstructionAddresses GPGPU technology and the associated massively threaded CUDA programming modelReviews FPGA architecture and programmingPresents several parallel algorithms for computing alignments on the Cell/BE architecture, including linear-space pairwise alignment, syntenic alignment, and spliced alignmentAssesses underlying concepts and advances in orchestrating the phylogenetic likelihood function on parallel computer architectures (ranging from FPGAs upto the IBM BlueGene/L supercomputer)Covers several effective techniques to fully exploit the computing capability of many-core CUDA-enabled GPUs to accelerate protein sequence database searching, multiple sequence alignment, and motif findingExplains a parallel CUDA-based method for correcting sequencing base-pair errors in HTSR dataBecause the amount of publicly available sequence data is growing faster than single processor core performance speed, modern bioinformatics tools need to take advantage of parallel computer architectures. Now that the era of the many-core processor has begun, it is expected that future mainstream processors will be parallel systems. Beneficial to anyone actively involved in research and applications, this book helps you to get the most out of these tools and create optimal HPC solutions for bioinformatics., CRC Press<
- Ebook, Englisch, Neuware Shipping costs:Ab 20¤ Versandkostenfrei in Deutschland, Sofort lieferbar, DE. (EUR 0.00)
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Crc Press:
Bioinformatics
- new book2011, ISBN: 9781439858363
New 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 … More...
New 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. New 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 on a variety of modern parallel architectures. Two factors continue to drive the increasing USE of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis-which have led to an exponential growth in the amount of digital biological data-and the multi- and many-core revolution within computer architecture. Presenting key information about how to make optimal USE of parallel architectures, this book: Describes algorithms and tools including pairwise sequence alignment, multiple sequence alignment, BLAST, motif finding, pattern matching, sequence assembly, hidden Markov models, proteomics, and evolutionary tree reconstructionAddresses GPGPU technology and the associated massively threaded CUDA programming modelReviews FPGA architecture and programmingPresents several parallel algorithms for computing alignments on the Cell/BE architecture, including linear-space pairwise alignment, syntenic alignment, and spliced alignmentAssesses underlying concepts and advances in orchestrating the phylogenetic likelihood function on parallel computer architectures (ranging from FPGAs upto the IBM BlueGene/L supercomputer)Covers several effective techniques to fully exploit the computing capability of many-core CUDA-enabled GPUs to accelerate protein sequence database searching, multiple sequence alig. eBooks, Computing~~Computer Science~~Computer Architecture & Logic Design, Bioinformatics~~EBook~~9781439858363~~Bertil Schmidt, , Bioinformatics, , 9781439858363, Crc Press, 06/03/2011, , , , Crc Press<
- MPN: , SKU 17848224 Shipping costs:zzgl. Versandkosten, plus shipping costs
3
Bioinformatics
- new bookISBN: 9781439858363
New 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 … More...
New 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 on a variety of modern parallel architectures. Two factors continue to drive the increasing USE of modern parallel computer architectures to address problems in computational biology and bioinformatics: high-throughput techniques for DNA sequencing and gene expression analysis-which have led to an exponential growth in the amount of digital biological data-and the multi- and many-core revolution within computer architecture. Presenting key information about how to make optimal USE of parallel architectures, this book: Describes algorithms and tools including pairwise sequence alignment, multiple sequence alignment, BLAST, motif finding, pattern matching, sequence assembly, hidden Markov models, proteomics, and evolutionary tree reconstructionAddresses GPGPU technology and the associated massively threaded CUDA programming modelReviews FPGA architecture and programmingPresents several parallel algorithms for computing alignments on the Cell/BE architecture, including linear-space pairwise alignment, syntenic alignment, and spliced alignmentAssesses underlying concepts and advances in orchestrating the phylogenetic likelihood function on parallel computer architectures (ranging from FPGAs upto the IBM BlueGene/L supercomputer)Covers several effective techniques to fully exploit the computing capability of many-core CUDA-enabled GPUs to accelerate protein sequence database searching, multiple sequence alig. eBooks Computing~~Computer Science~~Computer Architecture & Logic Design Bioinformatics~~EBook~~9781439858363~~Bertil Schmidt Bioinformatics<
Shipping costs:plus shipping costs
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Bioinformatics als eBook Download von
- new bookISBN: 9781439858363
Lieferung innerhalb 1-4 Werktagen. Versandkostenfrei, wenn Buch oder Hörbuch enthalten ist, sonst 2,95 EUR. Ab 19,90 EUR versandkostenfrei. (Deutschland) eBooks > Belletristik > Erzäh… More...
Lieferung innerhalb 1-4 Werktagen. Versandkostenfrei, wenn Buch oder Hörbuch enthalten ist, sonst 2,95 EUR. Ab 19,90 EUR versandkostenfrei. (Deutschland) eBooks > Belletristik > Erzählungen, CRC Press<
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Bioinformatics
- new book2011, ISBN: 9781439858363
High Performance Parallel Computer Architectures, eBook Download (EPUB), eBooks, [PU: CRC Press]
- Shipping costs:Download sofort lieferbar, , Versandkostenfrei innerhalb der BRD. (EUR 0.00)