High Performance and High Throughput Bioinformatics
Accelerate Time Consuming Bioinformatics Applications and Extract Knowledge from Large Amount of Biological Data
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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...
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 areference genome sequence using transcriptome analysis by sequencing (RNA-seq)
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