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Author : Fahad Saeed
Publisher :
ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (714 download)
Download or read book High Performance Computational Biology Algorithms written by Fahad Saeed and published by . This book was released on 2010 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Mourad Elloumi
Publisher : John Wiley & Sons
ISBN 13 : 1118101987
Total Pages : 1027 pages
Book Rating : 4.1/5 (181 download)
Download or read book Algorithms in Computational Molecular Biology written by Mourad Elloumi and published by John Wiley & Sons. This book was released on 2011-04-04 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.
Author : Fahad Saeed
Publisher : Springer Nature
ISBN 13 : 3031019601
Total Pages : 146 pages
Book Rating : 4.0/5 (31 download)
Download or read book High-Performance Algorithms for Mass Spectrometry-Based Omics written by Fahad Saeed and published by Springer Nature. This book was released on 2022-09-02 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods. Mass spectrometry is a diverse and versatile technology for high-throughput functional characterization of proteins, small molecules and metabolites in complex biological mixtures. In the recent years the technology has rapidly evolved and is now capable of generating increasingly large (multiple tera-bytes per experiment) and complex (multiple species/microbiome/high-dimensional) data sets. This rapid advance in MS instrumentation must be matched by equally fast and rapid evolution of scalable methods developed for analysis of these complex data sets. Ideally, the new methods should leverage the rich heterogeneous computational resources available in a ubiquitous fashion in the form of multicore, manycore, CPU-GPU, CPU-FPGA, and IntelPhi architectures. The absence of these high-performance computing algorithms now hinders scientific advancements for mass spectrometry research. In this book we illustrate the need for high-performance computing algorithms for MS based proteomics, and proteogenomics and showcase our progress in developing these high-performance algorithms.
Author : Bertil Schmidt
Publisher : CRC Press
ISBN 13 : 1439858365
Total Pages : 425 pages
Book Rating : 4.4/5 (398 download)
Download or read book Bioinformatics written by Bertil Schmidt and published by CRC Press. This book was released on 2010-07-15 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Author : Olivier Gascuel
Publisher : Springer Science & Business Media
ISBN 13 : 3540425160
Total Pages : 317 pages
Book Rating : 4.5/5 (44 download)
Download or read book Algorithms in Bioinformatics written by Olivier Gascuel and published by Springer Science & Business Media. This book was released on 2001-08-15 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Algorithms in Bioinformatics, WABI 2001, held in Aarhus, Denmark, in August 2001. The 23 revised full papers presented were carefully reviewed and selected from more than 50 submissions. Among the issues addressed are exact and approximate algorithms for genomics, sequence analysis, gene and signal recognition, alignment, molecular evolution, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design; methodological topics from algorithmics; high-performance approaches to hard computational problems in bioinformatics.
Author : Olivier Gascuel
Publisher : Springer
ISBN 13 : 3540446966
Total Pages : 317 pages
Book Rating : 4.5/5 (44 download)
Download or read book Algorithms in Bioinformatics written by Olivier Gascuel and published by Springer. This book was released on 2003-05-15 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Workshop on Algorithms in Bioinformatics, WABI 2001, held in Aarhus, Denmark, in August 2001. The 23 revised full papers presented were carefully reviewed and selected from more than 50 submissions. Among the issues addressed are exact and approximate algorithms for genomics, sequence analysis, gene and signal recognition, alignment, molecular evolution, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design; methodological topics from algorithmics; high-performance approaches to hard computational problems in bioinformatics.
Author : Pradipta Maji
Publisher : Springer Science & Business Media
ISBN 13 : 3319056301
Total Pages : 316 pages
Book Rating : 4.3/5 (19 download)
Download or read book Scalable Pattern Recognition Algorithms written by Pradipta Maji and published by Springer Science & Business Media. This book was released on 2014-03-19 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.
Author : Werner Dubitzky
Publisher : Springer Science & Business Media
ISBN 13 : 3540698418
Total Pages : 202 pages
Book Rating : 4.5/5 (46 download)
Download or read book Distributed, High-Performance and Grid Computing in Computational Biology written by Werner Dubitzky and published by Springer Science & Business Media. This book was released on 2007-01-03 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the refereed proceedings of the International Workshop on Distributed, High-Performance and Grid Computing in Computational Biology, GCCB 2006, held in Eilat, Israel in January 2007 in conjunction with the 5th European Conference on Computational Biology, ECCB 2006. The 13 revised full papers presented were carefully reviewed and selected from many high quality submissions.
Author : Hamid Arabnia
Publisher : Springer Science & Business Media
ISBN 13 : 1441970460
Total Pages : 776 pages
Book Rating : 4.4/5 (419 download)
Download or read book Software Tools and Algorithms for Biological Systems written by Hamid Arabnia and published by Springer Science & Business Media. This book was released on 2011-03-23 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Software Tools and Algorithms for Biological Systems" is composed of a collection of papers received in response to an announcement that was widely distributed to academicians and practitioners in the broad area of computational biology and software tools. Also, selected authors of accepted papers of BIOCOMP’09 proceedings (International Conference on Bioinformatics and Computational Biology: July 13-16, 2009; Las Vegas, Nevada, USA) were invited to submit the extended versions of their papers for evaluation.
Author : Hamid R Arabnia
Publisher : Morgan Kaufmann
ISBN 13 : 0128026464
Total Pages : 670 pages
Book Rating : 4.1/5 (28 download)
Download or read book Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology written by Hamid R Arabnia and published by Morgan Kaufmann. This book was released on 2015-08-11 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. - Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. - Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. - Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.
Author : Veli Mäkinen
Publisher : Cambridge University Press
ISBN 13 : 1107078539
Total Pages : 415 pages
Book Rating : 4.1/5 (7 download)
Download or read book Genome-Scale Algorithm Design written by Veli Mäkinen and published by Cambridge University Press. This book was released on 2015-05-07 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an integrated picture of the latest developments in algorithmic techniques, with numerous worked examples, algorithm visualisations and exercises.
Author : Albert Y. Zomaya
Publisher : John Wiley & Sons
ISBN 13 : 0471756490
Total Pages : 814 pages
Book Rating : 4.4/5 (717 download)
Download or read book Parallel Computing for Bioinformatics and Computational Biology written by Albert Y. Zomaya and published by John Wiley & Sons. This book was released on 2006-04-14 with total page 814 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.
Author : Song Tao
Publisher : World Scientific
ISBN 13 : 9813143193
Total Pages : 300 pages
Book Rating : 4.8/5 (131 download)
Download or read book Bio-inspired Computing Models And Algorithms written by Song Tao and published by World Scientific. This book was released on 2019-04-08 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-inspired computing (BIC) focuses on the designs and developments of computer algorithms and models based on biological mechanisms and living phenomena. It is now a major subfield of natural computation that leverages on the recent advances in computer science, biology and mathematics.The ideas provide abundant inspiration to construct high-performance computing models and intelligent algorithms, thus enabling powerful tools to solve real-life problems.Written by world-renowned researchers, this compendium covers the most influential topics on BIC, where the newly-obtained algorithms, developments and results are introduced and elaborated. The potential and valuable directions for further research are addressed as well.
Author : Ion Mandoiu
Publisher : John Wiley & Sons
ISBN 13 : 0470097736
Total Pages : 528 pages
Book Rating : 4.4/5 (7 download)
Download or read book Bioinformatics Algorithms written by Ion Mandoiu and published by John Wiley & Sons. This book was released on 2008-02-25 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.
Author : Rabinarayan Satpathy
Publisher : John Wiley & Sons
ISBN 13 : 1119785618
Total Pages : 544 pages
Book Rating : 4.1/5 (197 download)
Download or read book Data Analytics in Bioinformatics written by Rabinarayan Satpathy and published by John Wiley & Sons. This book was released on 2021-01-20 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.
Author : Veli Mäkinen
Publisher : Cambridge University Press
ISBN 13 : 1009341235
Total Pages : 469 pages
Book Rating : 4.0/5 (93 download)
Download or read book Genome-Scale Algorithm Design written by Veli Mäkinen and published by Cambridge University Press. This book was released on 2023-10-31 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental algorithms and data structures that power standard bioscience workflows, with rigorous computer science formulations.
Author : Raffaele Giancarlo
Publisher : Springer Science & Business Media
ISBN 13 : 3540741259
Total Pages : 443 pages
Book Rating : 4.5/5 (47 download)
Download or read book Algorithms in Bioinformatics written by Raffaele Giancarlo and published by Springer Science & Business Media. This book was released on 2007-08-22 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: The refereed proceedings from the 7th International Workshop on Algorithms in Bioinformatics are provided in this volume. Papers address current issues in algorithms in bioinformatics, ranging from mathematical tools to experimental studies of approximation algorithms to significant computational analyses. Biological problems examined include genetic mapping, sequence alignment and analysis, phylogeny, comparative genomics, and protein structure.
