- 370 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
About this book
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
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Yes, you can access Bioinformatics by Bertil Schmidt in PDF and/or ePUB format, as well as other popular books in Computer Science & Systems Architecture. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Front 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 for Alignments on the Cell BE
- Chapter 5: Orchestrating the Phylogenetic Likelihood Function on Emerging Parallel Architectures
- Chapter 6: Parallel Bioinformatics Algorithms for CUDA-Enabled GPUs
- Chapter 7: CUDA Error Correction Method for High-Throughput Short-Read Sequencing Data
- Chapter 8: FPGA Acceleration of Seeded Similarity Searching
- Chapter 9: Seed-Based Parallel Protein Sequence Comparison Combining Multithreading,GPU, and FPGA Technologies
- Chapter 10: Database Searching with Profile-Hidden Markov Models on Reconfigurable and Many-Core Architectures
- Chapter 11: COPACOBANA: A Massively ParallelFPGA-Based Computer Architecture
- Chapter 12: Accelerating String Set Matching for Bioinformatics Using FPGA Hardware
- Chapter 13: Reconfigurable Neural System and Its Application to Dimeric Protein Binding Site Identification
- Chapter 14: Parallel FPGA Search Engine for Protein Identification
- Index
- Back cover