TY  - BOOK
AU  - Schmidt,Bertil
TI  - Bioinformatics : :  high performance parallel computer architectures / 
T2  - Embedded multi-core systems
SN  - 9781439814888
U1  - 572.80285   22
PY  - 2011///
CY  - Boca Raton : 
PB  -  CRC Press, 
KW  - Bioinformatics
KW  -  Data processing
KW  - Parallel processing (Electronic computers)
N1  - Includes bibliographical references and index; Algorithms for Bioinformatics, B. Schmidt -- Introduction to GPGPUs and Massively Threaded Programming, R.M. Farber -- FPGA: Architecture and Programming, D. Maskell -- Parallel Algorithms for Alignments on the Cell BE, A. Sarje and S. Aluru -- Orchestrating the Phylogenetic Likelihood Function on Emerging Parallel Architectures, A. Stamatakis -- Parallel Bioinformatics Algorithms for CUDA-enabled GPUs, Y. Liu, B. Schmidt, and D. Maskell -- CUDA Error Correction Method for High-Throughput Short-Read Sequencing Data, H. Shi, W. Liu, and B. Schmidt -- FPGA Acceleration of Seeded Similarity Searching, A.C. Jacob, J.M. Lancaster, J.D. Buhler, and R.D. Chamberlain -- Seed-Based Parallel Protein Sequence Comparison Combining Multithreading, GPU, and FPGA Technologies, D. Lavenier and V.-H. Nguyen -- Database Searching with Profi le Hidden Markov Models on Reconfi gurable and Many-Core Architectures, J.P.Walters, V. Chaudhary, and B. Schmidt -- COPACOBANA: A Massively Parallel FPGA-Based Computer Architecture, M. Schimmler, L. Wienbrandt, T. Güneysu, and J. Bissel -- Accelerating String Set Matching for Bioinformatics Using FPGA Hardware, Y.S. Dandass -- Reconfi gurable Neural System and its Application to Dimeric Protein Binding Site Identification, F. Lin and M. Stepanova -- Parallel FPGA Search Engine for Protein Identification, D. Coca, I. Bogdan, and R.J. Beynon
N2  - 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 understanding
ER  -