High Performance and High Throughput Bioinformatics: Accelerate Time Consuming Bioinformatics Applications and Extract Knowledge from Large Amount of Biological Data - Softcover
Inhaltsangabe
Bioinformatics is an exciting new interdiscipline. This book introduces how computer hardware platforms (computer cluster, FPGA, and GPU) can be used to accelerate time-consuming bioinformatics applications and also introduces two bioinformatics data analysis pipelines to extract knowledge from large amount of biological data. This book has the following contents: A parallel phylogenetic bootstrap analysis program that can greatly reduce the computational time when running one a computer cluster, a parallel k-means data clustering algorithm that can run on a Field Programmable Gate Array (FPGA), a parallel k-means data clustering algorithm that can run on a modern Graphics Processing Unit (GPU), a data analysis pipeline that can apply gene set enrichment analysis on non-human organisms to predict human health consequences of a given treatment based on the responses in non-human organisms, and a data analysis pipeline to detect differentially expressed genes in organisms without a reference genome sequence using transcriptome analysis by sequencing (RNA-seq)
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Über die Autorin bzw. den Autor
Luobin Yang has been working in the bioinformatics field since 2003 after he got his Master's degree in bioinformatics. He is a research assistant professor at Idaho State University working on high performance bioinformatics and data mining for biomedical data.
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High Performance and High Throughput Bioinformatics
Verlag:
LAP LAMBERT Academic Publishing Jun 2012, 2012
ISBN 10: 3659148644
ISBN 13: 9783659148644
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bioinformatics is an exciting new interdiscipline. This book introduces how computer hardware platforms (computer cluster, FPGA, and GPU) can be used to accelerate time-consuming bioinformatics applications and also introduces two bioinformatics data analysis pipelines to extract knowledge from large amount of biological data. This book has the following contents: A parallel phylogenetic bootstrap analysis program that can greatly reduce the computational time when running one a computer cluster, a parallel k-means data clustering algorithm that can run on a Field Programmable Gate Array (FPGA), a parallel k-means data clustering algorithm that can run on a modern Graphics Processing Unit (GPU), a data analysis pipeline that can apply gene set enrichment analysis on non-human organisms to predict human health consequences of a given treatment based on the responses in non-human organisms, and a data analysis pipeline to detect differentially expressed genes in organisms without a reference genome sequence using transcriptome analysis by sequencing (RNA-seq) 120 pp. Englisch. Bestandsnummer des Verkäufers 9783659148644
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High Performance and High Throughput Bioinformatics
Verlag:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659148644
ISBN 13: 9783659148644
Neu
Softcover
Anbieter: moluna, Greven, Deutschland
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang LuobinLuobin Yang has been working in the bioinformatics field since 2003 after he got his Master s degree in bioinformatics. He is a research assistant professor at Idaho State University working on high performance bioinformat. Bestandsnummer des Verkäufers 5135017
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High Performance and High Throughput Bioinformatics
Verlag:
LAP LAMBERT Academic Publishing Jun 2012, 2012
ISBN 10: 3659148644
ISBN 13: 9783659148644
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bioinformatics is an exciting new interdiscipline. This book introduces how computer hardware platforms (computer cluster, FPGA, and GPU) can be used to accelerate time-consuming bioinformatics applications and also introduces two bioinformatics data analysis pipelines to extract knowledge from large amount of biological data. This book has the following contents: A parallel phylogenetic bootstrap analysis program that can greatly reduce the computational time when running one a computer cluster, a parallel k-means data clustering algorithm that can run on a Field Programmable Gate Array (FPGA), a parallel k-means data clustering algorithm that can run on a modern Graphics Processing Unit (GPU), a data analysis pipeline that can apply gene set enrichment analysis on non-human organisms to predict human health consequences of a given treatment based on the responses in non-human organisms, and a data analysis pipeline to detect differentially expressed genes in organisms without a reference genome sequence using transcriptome analysis by sequencing (RNA-seq)VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch. Bestandsnummer des Verkäufers 9783659148644
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High Performance and High Throughput Bioinformatics : Accelerate Time Consuming Bioinformatics Applications and Extract Knowledge from Large Amount of Biological Data
Verlag:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659148644
ISBN 13: 9783659148644
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bioinformatics is an exciting new interdiscipline. This book introduces how computer hardware platforms (computer cluster, FPGA, and GPU) can be used to accelerate time-consuming bioinformatics applications and also introduces two bioinformatics data analysis pipelines to extract knowledge from large amount of biological data. This book has the following contents: A parallel phylogenetic bootstrap analysis program that can greatly reduce the computational time when running one a computer cluster, a parallel k-means data clustering algorithm that can run on a Field Programmable Gate Array (FPGA), a parallel k-means data clustering algorithm that can run on a modern Graphics Processing Unit (GPU), a data analysis pipeline that can apply gene set enrichment analysis on non-human organisms to predict human health consequences of a given treatment based on the responses in non-human organisms, and a data analysis pipeline to detect differentially expressed genes in organisms without a reference genome sequence using transcriptome analysis by sequencing (RNA-seq). Bestandsnummer des Verkäufers 9783659148644
Neu kaufen
EUR 49,00
EUR 60,99 Versand
Versand von Deutschland nach USA
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