High Performance Computational Methods for Biological Sequence Analysis is tremendously important to biomedical science students and researchers who are interested in applying sequence analyses to their studies, and to computational science students and researchers who are interested in applying new computational approaches to biological sequence analyses. The areas of biological sequence analysis include sequence alignment, sequence database searching, motif and pattern discovery, reconstruction of evolutionary. Exploring biological sequence space : selected problems in sequence analysis and phylogenetics : a thesis presented in partial fulfilment of the requirements. The approaches presented by the authors are state-of-the-art and show how to reduce analysis times significantly, sometimes from days to minutes. The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems. Secondly, Biological Sequence Search enables the production of artificially engineered or recombinant nucleic acids (DNA, RNA) and proteins (enzymes, hormones. These computational methods are becoming increasingly important to the molecular biology community allowing researchers to explore the increasingly large amounts of sequence data generated by the Human Genome Project and other related biological projects. Distributed memory building blocks for massive biological sequence analysis dc.subject, Bioinformatics dc.subject, K-mer index dc.subject, K-mer counting dc. This work focuses on high performance computational approaches that are used to perform computationally intensive biological sequence analysis tasks: pairwise sequence comparison, multiple sequence alignment, and sequence similarity searching in large databases. This book will enable both groups to develop the depth of knowledge needed to work in this interdisciplinary field. Introduction - Pairwise sequence alignment - Multiple alignments - Hidden Markov models - Hidden Markov models applied to biological sequences - The. These concepts are presented so that computer scientists and biomedical scientists can obtain the necessary background for developing better algorithms and applying parallel computational methods. It provides detailed descriptions of the traditional and modern approaches in biological sequence alignments and homology search, and covers the full spectrum. High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts.
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