Computation In Bioinformatics

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Computation in BioInformatics

Author : S. Balamurugan,Anand T. Krishnan,Dinesh Goyal,Balakumar Chandrasekaran,Boomi Pandi
Publisher : John Wiley & Sons
Page : 354 pages
File Size : 45,8 Mb
Release : 2021-10-19
Category : Computers
ISBN : 9781119654711

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Computation in BioInformatics by S. Balamurugan,Anand T. Krishnan,Dinesh Goyal,Balakumar Chandrasekaran,Boomi Pandi Pdf

COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development. Audience Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences.

Parallel Computing for Bioinformatics and Computational Biology

Author : Albert Y. Zomaya
Publisher : John Wiley & Sons
Page : 817 pages
File Size : 52,6 Mb
Release : 2006-04-21
Category : Computers
ISBN : 9780471718482

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Parallel Computing for Bioinformatics and Computational Biology by Albert Y. Zomaya Pdf

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.

Evolutionary Computation in Bioinformatics

Author : Gary Fogel,David W. Corne
Publisher : Morgan Kaufmann
Page : 432 pages
File Size : 45,8 Mb
Release : 2003
Category : Computers
ISBN : 1558607978

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Evolutionary Computation in Bioinformatics by Gary Fogel,David W. Corne Pdf

This book offers a definitive resource that bridges biology and evolutionary computation. The authors have written an introduction to biology and bioinformatics for computer scientists, plus an introduction to evolutionary computation for biologists and for computer scientists unfamiliar with these techniques.

Bioinformatics Computing

Author : Bryan P. Bergeron
Publisher : Prentice Hall Professional
Page : 472 pages
File Size : 55,6 Mb
Release : 2003
Category : Computers
ISBN : 0131008250

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Bioinformatics Computing by Bryan P. Bergeron Pdf

Comprehensive and concise, this handbook has chapters on computing visualization, large database designs, advanced pattern matching and other key bioinformatics techniques. It is a practical guide to computing in the growing field of Bioinformatics--the study of how information is represented and transmitted in biological systems, starting at the molecular level.

Bioinformatics and Computational Biology

Author : Basant K. Tiwary
Publisher : Springer Nature
Page : 239 pages
File Size : 49,7 Mb
Release : 2021-11-23
Category : Medical
ISBN : 9789811642418

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Bioinformatics and Computational Biology by Basant K. Tiwary Pdf

This textbook introduces fundamental concepts of bioinformatics and computational biology to the students and researchers in biology, medicine, veterinary science, agriculture, and bioengineering . The respective chapters provide detailed information on biological databases, sequence alignment, molecular evolution, next-generation sequencing, systems biology, and statistical computing using R. The book also presents a case-based discussion on clinical, veterinary, agricultural bioinformatics, and computational bioengineering for application-based learning in the respective fields. Further, it offers readers guidance on reconstructing and analysing biological networks and highlights computational methods used in systems medicine and genome-wide association mapping of diseases. Given its scope, this textbook offers an essential introductory book on bioinformatics and computational biology for undergraduate and graduate students in the life sciences, botany, zoology, physiology, biotechnology, bioinformatics, and genomic science as well as systems biology, bioengineering and the agricultural, and veterinary sciences.

Bioinformatics and Computational Biology

Author : Hamid R. Arabnia,Fernando G. Tinetti,Quoc-Nam Tran
Publisher : 2019 Worldcomp Internation
Page : 0 pages
File Size : 47,5 Mb
Release : 2020-03-13
Category : Computers
ISBN : 1601324928

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Bioinformatics and Computational Biology by Hamid R. Arabnia,Fernando G. Tinetti,Quoc-Nam Tran Pdf

Proceedings of the 2019 International Conference on Bioinformatics & Computational Biology (BIOCOMP'19) held July 29th - August 1st, 2019 in Las Vegas, Nevada.

Fundamentals of Bioinformatics and Computational Biology

Author : Gautam B. Singh
Publisher : Springer
Page : 339 pages
File Size : 49,8 Mb
Release : 2014-09-24
Category : Technology & Engineering
ISBN : 9783319114033

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Fundamentals of Bioinformatics and Computational Biology by Gautam B. Singh Pdf

This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolboxTM. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Author : Robert Gentleman,Vincent Carey,Wolfgang Huber,Rafael Irizarry,Sandrine Dudoit
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 53,5 Mb
Release : 2005-12-29
Category : Computers
ISBN : 9780387293622

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Bioinformatics and Computational Biology Solutions Using R and Bioconductor by Robert Gentleman,Vincent Carey,Wolfgang Huber,Rafael Irizarry,Sandrine Dudoit Pdf

Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

Encyclopedia of Bioinformatics and Computational Biology

Author : Anonim
Publisher : Elsevier
Page : 3421 pages
File Size : 40,9 Mb
Release : 2018-08-21
Category : Medical
ISBN : 9780128114322

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Encyclopedia of Bioinformatics and Computational Biology by Anonim Pdf

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference

Author : Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón
Publisher : Springer
Page : 184 pages
File Size : 41,9 Mb
Release : 2019-06-21
Category : Technology & Engineering
ISBN : 9783030238735

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Practical Applications of Computational Biology and Bioinformatics, 13th International Conference by Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón Pdf

This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Author : Elena Marchiori
Publisher : Springer Science & Business Media
Page : 311 pages
File Size : 48,7 Mb
Release : 2007-04-02
Category : Computers
ISBN : 9783540717829

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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics by Elena Marchiori Pdf

This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.

Parallel Computing for Bioinformatics and Computational Biology

Author : Albert Y. Zomaya
Publisher : John Wiley & Sons
Page : 814 pages
File Size : 50,5 Mb
Release : 2006-04-14
Category : Computers
ISBN : 9780471756491

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Parallel Computing for Bioinformatics and Computational Biology by Albert Y. Zomaya Pdf

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.

Computing for Comparative Microbial Genomics

Author : David Wayne Ussery,Trudy M. Wassenaar,Stefano Borini
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 43,9 Mb
Release : 2009-02-26
Category : Science
ISBN : 9781848002548

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Computing for Comparative Microbial Genomics by David Wayne Ussery,Trudy M. Wassenaar,Stefano Borini Pdf

Overview and Goals This book describes how to visualize and compare bacterial genomes. Sequencing technologies are becoming so inexpensive that soon going for a cup of coffee will be more expensive than sequencing a bacterial genome. Thus, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. It is a long road from molecular biology to systems biology, and in a sense this text can be thought of as a path bridging these ? elds. The goal of this book is to p- vide a coherent set of tools and a methodological framework for starting with raw DNA sequences and producing fully annotated genome sequences, and then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Organization and Features The text is divided into four main parts: Introduction, Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on to the methods of comparing genomes. First, a brief overview of molecular biology and of the concept of sequences as biological inf- mation are given.

A Primer for Computational Biology

Author : Shawn T. O'Neil
Publisher : Unknown
Page : 0 pages
File Size : 51,6 Mb
Release : 2017-12-21
Category : Science
ISBN : 0870719262

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A Primer for Computational Biology by Shawn T. O'Neil Pdf

A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts: Introduction to Unix/Linux: The command-line is the "natural environment" of scientific computing, and this part covers a wide range of topics, including logging in, working with files and directories, installing programs and writing scripts, and the powerful "pipe" operator for file and data manipulation. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development. This part covers the basic concepts in programming (data types, if-statements and loops, functions) via examples of DNA-sequence analysis. This part also covers more complex subjects in software development such as objects and classes, modules, and APIs. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets. This third part covers the basics of R as a programming language (data types, if-statements, functions, loops and when to use them) as well as techniques for large-scale, multi-test analyses. Other topics include S3 classes and data visualization with ggplot2.

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020)

Author : Gabriella Panuccio,Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Roberto Casado-Vara
Publisher : Springer
Page : 216 pages
File Size : 54,8 Mb
Release : 2021-07-24
Category : Technology & Engineering
ISBN : 3030545709

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Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020) by Gabriella Panuccio,Miguel Rocha,Florentino Fdez-Riverola,Mohd Saberi Mohamad,Roberto Casado-Vara Pdf

This book highlights the latest research on practical applications of computational biology and bioinformatics, and addresses emerging experimental and sequencing techniques that are posing new challenges for bioinformatics and computational biology. Successfully applying these techniques calls for new algorithms and approaches from fields such as statistics, data mining, machine learning, optimization, computer science, and artificial intelligence. In response to these challenges, we have seen the rise of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences.These proceedings include 21 papers covering many different subfields of bioinformatics and computational biology. Focusing on interdisciplinary applications that combine e.g. bioinformatics, chemoinformatics, and system biology, they are intended to promote the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions and overcome the challenges outlined above.