Computational Techniques For Biological Sequence Analysis
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Computational Techniques For Biological Sequence Analysis
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Author : Saiyed Umer
language : en
Publisher: CRC Press
Release Date : 2025-06-17
Computational Techniques For Biological Sequence Analysis written by Saiyed Umer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
This book provides an overview of basic and advanced computational techniques for analyzing and understanding protein, RNA, and DNA sequences. It covers effective computing techniques for DNA and protein classifications, evolutionary and sequence information analysis, evolutionary algorithms, and ensemble algorithms. Furthermore, the book reviews the role of machine learning techniques, artificial intelligence, ensemble learning, and sequence-based features in predicting post-translational modifications in proteins, DNA methylation, and mRNA methylation, along with their functional implications. The book also discusses the prediction of protein–protein and protein–DNA interactions, protein structure, and function using computational methods. It also presents techniques for quantitative analysis of protein–DNA interactions and protein methylation and their involvement in gene regulation. Additionally, the use of nature-inspired algorithms to gain insights into gene regulatory mechanisms and metabolic pathways in human diseases is explored. This book acts as a useful reference for bioinformaticians and computational biologists working in the fields of molecular biology, genomics, and bioinformatics. Key Features: Reviews machine learning techniques for DNA sequence classification and protein structure prediction Discusses genetic algorithms for analyzing multiple sequence alignments and predicting protein–protein interaction sites Explores computational methods for quantitative analysis of protein–DNA interactions Examine the role of nature-inspired algorithms in understanding the gene regulation and metabolic pathways Covers evolutionary algorithms and sequence-based features in predicting post-translational modifications
High Performance Computational Methods For Biological Sequence Analysis
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Author : Tieng K. Yap
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
High Performance Computational Methods For Biological Sequence Analysis written by Tieng K. Yap 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 2012-12-06 with Computers categories.
High Performance Computational Methods for Biological Sequence Analysis presents biological sequence analysis using an interdisciplinary approach that integrates biological, mathematical and computational concepts. 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. This book will enable both groups to develop the depth of knowledge needed to work in this interdisciplinary field. 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. 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. The approaches presented by the authors are state-of-the-art and show how to reduce analysis times significantly, sometimes from days to minutes. 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.
Computational Techniques For Biological Sequence Analysis
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Author : Saiyed Umer
language : en
Publisher: CRC Press
Release Date : 2025-06-17
Computational Techniques For Biological Sequence Analysis written by Saiyed Umer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Computers categories.
This book provides an overview of basic and advanced computational techniques for analyzing and understanding protein, RNA, and DNA sequences. It covers effective computing techniques for DNA and protein classifications, evolutionary and sequence information analysis, evolutionary algorithms, and ensemble algorithms. Furthermore, the book reviews the role of machine learning techniques, artificial intelligence, ensemble learning, and sequence-based features in predicting post-translational modifications in proteins, DNA methylation, and mRNA methylation, along with their functional implications. The book also discusses the prediction of protein–protein and protein–DNA interactions, protein structure, and function using computational methods. It also presents techniques for quantitative analysis of protein–DNA interactions and protein methylation and their involvement in gene regulation. Additionally, the use of nature-inspired algorithms to gain insights into gene regulatory mechanisms and metabolic pathways in human diseases is explored. This book acts as a useful reference for bioinformaticians and computational biologists working in the fields of molecular biology, genomics, and bioinformatics. Key Features: Reviews machine learning techniques for DNA sequence classification and protein structure prediction Discusses genetic algorithms for analyzing multiple sequence alignments and predicting protein–protein interaction sites Explores computational methods for quantitative analysis of protein–DNA interactions Examine the role of nature-inspired algorithms in understanding the gene regulation and metabolic pathways Covers evolutionary algorithms and sequence-based features in predicting post-translational modifications
Advanced Computational Methods For Massive Biological Sequence Analysis
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Author : Davide Verzotto
language : en
Publisher:
Release Date : 2012
Advanced Computational Methods For Massive Biological Sequence Analysis written by Davide Verzotto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Biological Sequence Analysis Using The Seqan C Library
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Author : Andreas Gogol-Döring
language : en
Publisher: CRC Press
Release Date : 2009-11-11
Biological Sequence Analysis Using The Seqan C Library written by Andreas Gogol-Döring and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-11 with Computers categories.
An Easy-to-Use Research Tool for Algorithm Testing and DevelopmentBefore the SeqAn project, there was clearly a lack of available implementations in sequence analysis, even for standard tasks. Implementations of needed algorithmic components were either unavailable or hard to access in third-party monolithic software products. Addressing these conc
Advanced Computational Methods For Biocomputing And Bioimaging
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Author : Tuan D. Pham
language : en
Publisher: Nova Publishers
Release Date : 2007
Advanced Computational Methods For Biocomputing And Bioimaging written by Tuan D. Pham and has been published by Nova Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Computational models have been playing a significant role for the computer-based analysis of biological and biomedical data. Given the recent availability of genomic sequences and microarray gene expression data, there is an increasing demand for developing and applying advanced computational techniques for exploring these types of data such as functional interpretation of gene expression data, deciphering of how genes and proteins work together in pathways and networks, extracting and analysing phenotypic features of mitotic cells for high throughput screening of novel anti-mitotic drugs. Successful applications of advanced computational algorithms to solving modern life-science problems will make significant impacts on several important and promising issues related to genomic medicine, molecular imaging, and the scientific knowledge of the genetic basis of diseases.
Computational Molecular Biology
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Author : Arthur M. Lesk
language : en
Publisher: Oxford University Press, USA
Release Date : 1988
Computational Molecular Biology written by Arthur M. Lesk and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Language Arts & Disciplines categories.
An overview of the field of computing with protein and nucleic acid sequences, aimed at investigators determining sequences, those who analyze them to identify unknown proteins and interpret their function, and those interested in the three-dimensional structures of biological molecules.
Discriminative Structured Models For Biological Sequence Analysis
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Author : Chuong B. Do
language : en
Publisher:
Release Date : 2009
Discriminative Structured Models For Biological Sequence Analysis written by Chuong B. Do and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Computational Methods With Applications In Bioinformatics Analysis
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Author : Jeffrey J P Tsai
language : en
Publisher: World Scientific
Release Date : 2017-06-09
Computational Methods With Applications In Bioinformatics Analysis written by Jeffrey J P Tsai and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-09 with Science categories.
This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Genetic Algorithms Applied To Biological Sequence Analysis
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Author : James Thompson
language : en
Publisher:
Release Date : 2006
Genetic Algorithms Applied To Biological Sequence Analysis written by James Thompson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Amino acid sequence categories.
"Recently biological sequence databases have grown much faster than the ability of researchers to annotate such sequences. Techniques for computational analysis of biological sequences have grown in importance as researchers attempt to understand some features of these sequences. These features are computationally predicted through correlation with the presence of signals, which are measurable characteristics of a sequence correlated with the sequence feature. This study describes a general methodology for combining the information from signals in order to predict the presence of sequence feature. The methodology is based on Genetic Algorithm, which are a class of computational techniques that borrow concepts from Genetics in order to solve complex problems. The problems of prokaryotic start site prediction and prediction of RNA editing in order to demonstrate this methodology"--Abstract.