- 370 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
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 & Biology. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Embedded Multi-Core Systems
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Editor
- Contributors
- 1: Algorithms for Bioinformatics
- 2: Introduction to GPGPUs and Massively Threaded Programming
- 3: FPGA: Architecture and Programming
- 4: Parallel Algorithms for Alignments on the Cell BE
- 5: Orchestrating the Phylogenetic Likelihood Function on Emerging Parallel Architectures
- 6: Parallel Bioinformatics Algorithms for CUDA-Enabled GPUs
- 7: CUDA Error Correction Method for High-Throughput Short-Read Sequencing Data
- 8: FPGA Acceleration of Seeded Similarity Searching
- 9: Seed-Based Parallel Protein Sequence Comparison Combining Multithreading, GPU, and FPGA Technologies
- 10: Database Searching with Profile-Hidden Markov Models on Reconfigurable and Many-Core Architectures
- 11: COPACOBANA: A Massively Parallel FPGA-Based Computer Architecture
- 12: Accelerating String Set Matching for Bioinformatics Using FPGA Hardware
- 13: Reconfigurable Neural System and Its Application to Dimeric Protein Binding Site Identification
- 14: Parallel FPGA Search Engine for Protein Identification
- Index