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Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications


Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications
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Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications


Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications
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Author : Shakha Gupta
language : en
Publisher:
Release Date : 2004

Hardware Acceleration Of Hidden Markov Models For Bioinformatics Applications written by Shakha Gupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Amino acid sequence categories.




Handbook Of Hidden Markov Models In Bioinformatics


Handbook Of Hidden Markov Models In Bioinformatics
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Author : Martin Gollery
language : en
Publisher: CRC Press
Release Date : 2008-06-12

Handbook Of Hidden Markov Models In Bioinformatics written by Martin Gollery and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-12 with Computers categories.


Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs). The book begins with discussions on key HMM and related profile methods, incl



Hidden Markov Models For Bioinformatics


Hidden Markov Models For Bioinformatics
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Author : T. Koski
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-30

Hidden Markov Models For Bioinformatics written by T. Koski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-30 with Mathematics categories.


The purpose of this book is to give a thorough and systematic introduction to probabilistic modeling in bioinformatics. The book contains a mathematically strict and extensive presentation of the kind of probabilistic models that have turned out to be useful in genome analysis. Questions of parametric inference, selection between model families, and various architectures are treated. Several examples are given of known architectures (e.g., profile HMM) used in genome analysis. Audience: This book will be of interest to advanced undergraduate and graduate students with a fairly limited background in probability theory, but otherwise well trained in mathematics and already familiar with at least some of the techniques of algorithmic sequence analysis.



Advances In Gpu Research And Practice


Advances In Gpu Research And Practice
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Author : Hamid Sarbazi-Azad
language : en
Publisher: Morgan Kaufmann
Release Date : 2016-09-15

Advances In Gpu Research And Practice written by Hamid Sarbazi-Azad and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-15 with Computers categories.


Advances in GPU Research and Practice focuses on research and practices in GPU based systems. The topics treated cover a range of issues, ranging from hardware and architectural issues, to high level issues, such as application systems, parallel programming, middleware, and power and energy issues. Divided into six parts, this edited volume provides the latest research on GPU computing. Part I: Architectural Solutions focuses on the architectural topics that improve on performance of GPUs, Part II: System Software discusses OS, compilers, libraries, programming environment, languages, and paradigms that are proposed and analyzed to help and support GPU programmers. Part III: Power and Reliability Issues covers different aspects of energy, power, and reliability concerns in GPUs. Part IV: Performance Analysis illustrates mathematical and analytical techniques to predict different performance metrics in GPUs. Part V: Algorithms presents how to design efficient algorithms and analyze their complexity for GPUs. Part VI: Applications and Related Topics provides use cases and examples of how GPUs are used across many sectors. Discusses how to maximize power and obtain peak reliability when designing, building, and using GPUs Covers system software (OS, compilers), programming environments, languages, and paradigms proposed to help and support GPU programmers Explains how to use mathematical and analytical techniques to predict different performance metrics in GPUs Illustrates the design of efficient GPU algorithms in areas such as bioinformatics, complex systems, social networks, and cryptography Provides applications and use case scenarios in several different verticals, including medicine, social sciences, image processing, and telecommunications



Bioinformatics


Bioinformatics
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Author : Information Resources Management Association
language : en
Publisher: IGI Global
Release Date : 2013-03-31

Bioinformatics written by Information Resources Management Association and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-31 with Computers categories.


"Bioinformatics: Concepts, Methodologies, Tools, and Applications highlights the area of bioinformatics and its impact over the medical community with its innovations that change how we recognize and care for illnesses"--Provided by publisher.



Database Systems For Advanced Applications


Database Systems For Advanced Applications
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Author : Matthias Renz
language : en
Publisher: Springer
Release Date : 2015-04-08

Database Systems For Advanced Applications written by Matthias Renz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-08 with Computers categories.


This two volume set LNCS 9049 and LNCS 9050 constitutes the refereed proceedings of the 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015, held in Hanoi, Vietnam, in April 2015. The 63 full papers presented were carefully reviewed and selected from a total of 287 submissions. The papers cover the following topics: data mining; data streams and time series; database storage and index; spatio-temporal data; modern computing platform; social networks; information integration and data quality; information retrieval and summarization; security and privacy; outlier and imbalanced data analysis; probabilistic and uncertain data; query processing.



Hidden Markov Models And Some Applications In Bioinformatics


Hidden Markov Models And Some Applications In Bioinformatics
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Author : Maryam Alyasin Arvizu
language : en
Publisher:
Release Date : 2003

Hidden Markov Models And Some Applications In Bioinformatics written by Maryam Alyasin Arvizu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Algorithms categories.




Reconfigurable Computing


Reconfigurable Computing
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Author : Maya B. Gokhale
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-07-04

Reconfigurable Computing written by Maya B. Gokhale and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-07-04 with Technology & Engineering categories.


A one-of-a-kind survey of the field of Reconfigurable Computing Gives a comprehensive introduction to a discipline that offers a 10X-100X acceleration of algorithms over microprocessors Discusses the impact of reconfigurable hardware on a wide range of applications: signal and image processing, network security, bioinformatics, and supercomputing Includes the history of the field as well as recent advances Includes an extensive bibliography of primary sources



Reconfigurable Embedded Control Systems Applications For Flexibility And Agility


Reconfigurable Embedded Control Systems Applications For Flexibility And Agility
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Author : Khalgui, Mohamed
language : en
Publisher: IGI Global
Release Date : 2010-11-30

Reconfigurable Embedded Control Systems Applications For Flexibility And Agility written by Khalgui, Mohamed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-30 with Computers categories.


"This book addresses the development of reconfigurable embedded control systems and describes various problems in this important research area, which include static and dynamic (manual or automatic) reconfigurations, multi-agent architectures, modeling and verification, component-based approaches, architecture description languages, distributed reconfigurable architectures, real-time and low power scheduling, execution models, and the implementation of such systems"--



Hidden Markov Models With Applications In Computational Biology


Hidden Markov Models With Applications In Computational Biology
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Author : Michael Seifert
language : en
Publisher: Sudwestdeutscher Verlag Fur Hochschulschriften AG
Release Date : 2013-01

Hidden Markov Models With Applications In Computational Biology written by Michael Seifert and has been published by Sudwestdeutscher Verlag Fur Hochschulschriften AG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01 with categories.


Standard first-order Hidden Markov Models (HMMs) are very popular tools for the analysis of sequential data in applied sciences. HMMs are versatile and structurally simple models enabling probabilistic modeling based on a sound theoretical grounding. In contrast to the broad usage of first-order HMMs, applications of higher-order HMMs are very rare, but they have been proven to be powerful extensions of first-order HMMs including applications in speech recognition, image segmentation or computational biology. This book provides the first easily accessible and comprehensive extension of the algorithmic basics of first-order HMMs to higher-order HMMs coupled with practical applications in computational biology. The book starts with a theoretical part developing the algorithmic basics of higher-order HMMs and two novel model extensions (i) parsimonious higher-order HMMs and (ii) HMMs with scaled transition matrices. The second part considers applications of these models to the analysis of different DNA microarray data sets followed by a detailed discussion. The book addresses readers having basic knowledge on first-order HMMs interested to gain more insights on higher-order HMMs.