This book introduces the reader to all the key concepts and technologies needed to begin developing their own bioinformatics tools. The new edition includes more bioinformatics-specific content and a new chapter on good software engineering practices to help people working in te…
This book introduces the reader to all the key concepts and technologies needed to begin developing their own bioinformatics tools. The new edition includes more bioinformatics-specific content and a new chapter on good software engineering practices to help people working in te…
Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an exam…
Data Mining for Bioinformatics Applications provides valuable information on the data mining methods have been widely used for solving real bioinformatics problems, including problem definition, data collection, data preprocessing, modeling, and validation. The text uses an exam…
"Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics compu…
Introduces the parallel architectures, their corresponding programming paradigms, and their bioinformatics applications. This title provides background on sequential bioinformatics algorithms and parallel architectures such as multi-cores, Cell BE, GPUs, and FPGAs.
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 …
Algorithms for Bioinformatics, B. SchmidtIntroduction to GPGPUs and Massively Threaded Programming, R.M. FarberFPGA: Architecture and Programming, D. MaskellParallel Algorithms for Alignments on the Cell BE, A. Sarje and S. AluruOrchestrating the Phylogenetic Likelihood Function…
Introduces the parallel architectures, their corresponding programming paradigms, and their bioinformatics applications. This title provides background on sequential bioinformatics algorithms and parallel architectures such as multi-cores, Cell BE, GPUs, and FPGAs.
