Computational And Analytic Methods In Biological Sciences

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Computational and Analytic Methods in Biological Sciences

Author : Akshara Makrariya
Publisher : CRC Press
ISBN 13 : 1000879879
Total Pages : 325 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Computational and Analytic Methods in Biological Sciences by : Akshara Makrariya

Download or read book Computational and Analytic Methods in Biological Sciences written by Akshara Makrariya and published by CRC Press. This book was released on 2023-05-31 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite major advances in healthcare over the past century, the successful treatment of cancer has remained a significant challenge, and cancers are the second leading cause of death worldwide behind cardiovascular disease. Early detection and survival are important issues to control cancer. The development of quantitative methods and computer technology has facilitated the formation of new models in medical and biological sciences. The application of mathematical modelling in solving many real-world problems in medicine and biology has yielded fruitful results. In spite of advancements in instrumentations technology and biomedical equipment, it is not always possible to perform experiments in medicine and biology for various reasons. Thus, mathematical modelling and simulation are viewed as viable alternatives in such situations, and are discussed in this book. The conventional diagnostic techniques of cancer are not always effective as they rely on the physical and morphological appearance of the tumour. Early stage prediction and diagnosis is very difficult with conventional techniques. It is well known that cancers are involved in genome level changes. As of now, the prognosis of various types of cancer depends upon findings related to the data generated through different experiments. Several machine learning techniques exist in analysing the data of expressed genes; however, the recent results related with deep learning algorithms are more accurate and accommodative, as they are effective in selecting and classifying informative genes. This book explores the probabilistic computational deep learning model for cancer classification and prediction.

Computational and Analytic Methods in Science and Engineering

Author : Christian Constanda
Publisher : Springer Nature
ISBN 13 : 3030481867
Total Pages : 261 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Computational and Analytic Methods in Science and Engineering by : Christian Constanda

Download or read book Computational and Analytic Methods in Science and Engineering written by Christian Constanda and published by Springer Nature. This book was released on 2020-07-07 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume collects papers presented at a special session of the conference Computational and Mathematical Methods in Science and Engineering (CMMSE) held in Cadiz, Spain from June 30 - July 6, 2019. Covering the applications of integral methods to scientific developments in a variety of fields, ranging from pure analysis to petroleum engineering, the chapters in this volume present new results in both pure and applied mathematics. Written by well-known researchers in their respective disciplines, each chapter shares a common methodology based on a combination of analytic and computational tools. This approach makes the collection a valuable, multidisciplinary reference on how mathematics can be applied to various real-world processes and phenomena. Computational and Analytic Methods in Science and Engineering will be ideal for applied mathematicians, physicists, and research engineers.

Computational and Analytic Methods in Science and Engineering

Author : Christian Constanda
Publisher :
ISBN 13 : 9788303048189
Total Pages : 0 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Computational and Analytic Methods in Science and Engineering by : Christian Constanda

Download or read book Computational and Analytic Methods in Science and Engineering written by Christian Constanda and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume collects papers presented at a special session of the conference Computational and Mathematical Methods in Science and Engineering (CMMSE) held in Cadiz, Spain from June 30 - July 6, 2019. Covering the applications of integral methods to scientific developments in a variety of fields, ranging from pure analysis to petroleum engineering, the chapters in this volume present new results in both pure and applied mathematics. Written by well-known researchers in their respective disciplines, each chapter shares a common methodology based on a combination of analytic and computational tools. This approach makes the collection a valuable, multidisciplinary reference on how mathematics can be applied to various real-world processes and phenomena. Computational and Analytic Methods in Science and Engineering will be ideal for applied mathematicians, physicists, and research engineers.

Introduction to Computer-Intensive Methods of Data Analysis in Biology

Author : Derek A. Roff
Publisher : Cambridge University Press
ISBN 13 : 0521608651
Total Pages : 233 pages
Book Rating : 4.5/5 (216 download)

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Book Synopsis Introduction to Computer-Intensive Methods of Data Analysis in Biology by : Derek A. Roff

Download or read book Introduction to Computer-Intensive Methods of Data Analysis in Biology written by Derek A. Roff and published by Cambridge University Press. This book was released on 2006-05-25 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher Description

Analytical Techniques in Biosciences

Author : Chukwuebuka Egbuna
Publisher : Academic Press
ISBN 13 : 0128227990
Total Pages : 302 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Analytical Techniques in Biosciences by : Chukwuebuka Egbuna

Download or read book Analytical Techniques in Biosciences written by Chukwuebuka Egbuna and published by Academic Press. This book was released on 2021-10-21 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analytical Techniques in Biosciences: From Basics to Applications presents comprehensive and up-to-date information on the various analytical techniques obtainable in bioscience research laboratories across the world. This book contains chapters that discuss the basic bioanalytical protocols and sample preparation guidelines. Commonly encountered analytical techniques, their working principles, and applications were presented. Techniques, considered in this book, include centrifugation techniques, electrophoretic techniques, chromatography, titrimetry, spectrometry, and hyphenated techniques. Subsequent chapters emphasize molecular weight determination and electroanalytical techniques, biosensors, and enzyme assay protocols. Other chapters detail microbial techniques, statistical methods, computational modeling, and immunology and immunochemistry. The book draws from experts from key institutions around the globe, who have simplified the chapters in a way that will be useful to early-stage researchers as well as advanced scientists. It is also carefully structured and integrated sequentially to aid flow, consistency, and continuity. This is a must-have reference for graduate students and researchers in the field of biosciences. Presents basic analytical protocols and sample-preparation guidelines Details the various analytical techniques, including centrifugation, spectrometry, chromatography, and titrimetry Describes advanced techniques such as hyphenated techniques, electroanalytical techniques, and the application of biosensors in biomedical research Presents biostatistical tools and methods and basic computational models in biosciences

Computational Cell Biology

Author : Louise von Stechow
Publisher : Humana Press
ISBN 13 : 9781493986170
Total Pages : 436 pages
Book Rating : 4.9/5 (861 download)

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Book Synopsis Computational Cell Biology by : Louise von Stechow

Download or read book Computational Cell Biology written by Louise von Stechow and published by Humana Press. This book was released on 2018-08-08 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume details computational techniques for analyses of a wide range of biological contexts, providing an overview of the most up-to-date techniques used in the field. Chapters guide the reader through available data resources and analysis methods and easy-to-follow protocols that allow the researcher to apply various computational tools to an array of different data types. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Cell Biology: Method and Protocols aims to ensure successful results in the further study of this vital field.

Computational Intelligence and Pattern Analysis in Biology Informatics

Author : Ujjwal Maulik
Publisher : John Wiley & Sons
ISBN 13 : 1118097807
Total Pages : 552 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Computational Intelligence and Pattern Analysis in Biology Informatics by : Ujjwal Maulik

Download or read book Computational Intelligence and Pattern Analysis in Biology Informatics written by Ujjwal Maulik and published by John Wiley & Sons. This book was released on 2011-03-21 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases. Supplementary material included: program code and relevant data sets correspond to chapters.

Computational Methods in Systems Biology

Author : Luca Bortolussi
Publisher : Springer Nature
ISBN 13 : 3030313042
Total Pages : 388 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Methods in Systems Biology by : Luca Bortolussi

Download or read book Computational Methods in Systems Biology written by Luca Bortolussi and published by Springer Nature. This book was released on 2019-09-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Computational Methods in Systems Biology, CMSB 2019, held in Trieste, Italy, in September 2019. The 14 full papers, 7 tool papers and 11 posters were carefully reviewed and selected from 53 submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verification, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; computational approaches for synthetic biology; and case studies in systems and synthetic biology.

Introduction to Computational Biology

Author : Bernhard Haubold
Publisher : Springer Science & Business Media
ISBN 13 : 3764373873
Total Pages : 329 pages
Book Rating : 4.7/5 (643 download)

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Book Synopsis Introduction to Computational Biology by : Bernhard Haubold

Download or read book Introduction to Computational Biology written by Bernhard Haubold and published by Springer Science & Business Media. This book was released on 2006-08-09 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written with the advanced undergraduate in mind, this book introduces into the field of Bioinformatics. The authors explain the computational and conceptional background to the analysis of large-scale sequence data. Many of the corresponding analysis methods are rooted in evolutionary thinking, which serves as a common thread throughout the book. The focus is on methods of comparative genomics and subjects covered include: alignments, gene finding, phylogeny, and the analysis of single nucleotide polymorphisms (SNPs). The volume contains exercises, questions & answers to selected problems.

Computational Methods in Cell Biology

Author : Anand R. Asthagiri
Publisher : Academic Press
ISBN 13 : 0123884039
Total Pages : 427 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Computational Methods in Cell Biology by : Anand R. Asthagiri

Download or read book Computational Methods in Cell Biology written by Anand R. Asthagiri and published by Academic Press. This book was released on 2012-04-13 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational methods are playing an ever increasing role in cell biology. This volume of Methods in Cell Biology focuses on Computational Methods in Cell Biology and consists of two parts: (1) data extraction and analysis to distill models and mechanisms, and (2) developing and simulating models to make predictions and testable hypotheses. Focuses on computational methods in cell biology Split into 2 parts--data extraction and analysis to distill models and mechanisms, and developing and simulating models to make predictions and testable hypotheses Emphasizes the intimate and necessary connection with interpreting experimental data and proposing the next hypothesis and experiment

High Performance Computational Methods for Biological Sequence Analysis

Author : Tieng K. Yap
Publisher : Springer Science & Business Media
ISBN 13 : 1461313910
Total Pages : 219 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis High Performance Computational Methods for Biological Sequence Analysis by : Tieng K. Yap

Download or read book High Performance Computational Methods for Biological Sequence Analysis written by Tieng K. Yap and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Molecular Biology

Author : Peter Clote
Publisher : Wiley
ISBN 13 : 9780471872528
Total Pages : 304 pages
Book Rating : 4.8/5 (725 download)

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Book Synopsis Computational Molecular Biology by : Peter Clote

Download or read book Computational Molecular Biology written by Peter Clote and published by Wiley. This book was released on 2000-10-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. * Provides the background mathematics required to understand why certain algorithms work * Guides the reader through probability theory, entropy and combinatorial optimization * In-depth coverage of molecular biology and protein structure prediction * Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.

Computational Methods for the Analysis of Genomic Data and Biological Processes

Author : Francisco A. Gómez Vela
Publisher : MDPI
ISBN 13 : 3039437712
Total Pages : 222 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Computational Methods for the Analysis of Genomic Data and Biological Processes by : Francisco A. Gómez Vela

Download or read book Computational Methods for the Analysis of Genomic Data and Biological Processes written by Francisco A. Gómez Vela and published by MDPI. This book was released on 2021-02-05 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.

Quantitative Biology

Author : Brian Munsky
Publisher : MIT Press
ISBN 13 : 0262038080
Total Pages : 729 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Quantitative Biology by : Brian Munsky

Download or read book Quantitative Biology written by Brian Munsky and published by MIT Press. This book was released on 2018-08-21 with total page 729 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research. The quantitative modeling of biological processes promises to expand biological research from a science of observation and discovery to one of rigorous prediction and quantitative analysis. The rapidly growing field of quantitative biology seeks to use biology's emerging technological and computational capabilities to model biological processes. This textbook offers an introduction to the theory, methods, and tools of quantitative biology. The book first introduces the foundations of biological modeling, focusing on some of the most widely used formalisms. It then presents essential methodology for model-guided analyses of biological data, covering such methods as network reconstruction, uncertainty quantification, and experimental design; practical algorithms and software packages for modeling biological systems; and specific examples of current quantitative biology research and related specialized methods. Most chapters offer problems, progressing from simple to complex, that test the reader's mastery of such key techniques as deterministic and stochastic simulations and data analysis. Many chapters include snippets of code that can be used to recreate analyses and generate figures related to the text. Examples are presented in the three popular computing languages: Matlab, R, and Python. A variety of online resources supplement the the text. The editors are long-time organizers of the Annual q-bio Summer School, which was founded in 2007. Through the school, the editors have helped to train more than 400 visiting students in Los Alamos, NM, Santa Fe, NM, San Diego, CA, Albuquerque, NM, and Fort Collins, CO. This book is inspired by the school's curricula, and most of the contributors have participated in the school as students, lecturers, or both. Contributors John H. Abel, Roberto Bertolusso, Daniela Besozzi, Michael L. Blinov, Clive G. Bowsher, Fiona A. Chandra, Paolo Cazzaniga, Bryan C. Daniels, Bernie J. Daigle, Jr., Maciej Dobrzynski, Jonathan P. Doye, Brian Drawert, Sean Fancer, Gareth W. Fearnley, Dirk Fey, Zachary Fox, Ramon Grima, Andreas Hellander, Stefan Hellander, David Hofmann, Damian Hernandez, William S. Hlavacek, Jianjun Huang, Tomasz Jetka, Dongya Jia, Mohit Kumar Jolly, Boris N. Kholodenko, Markek Kimmel, Michał Komorowski, Ganhui Lan, Heeseob Lee, Herbert Levine, Leslie M Loew, Jason G. Lomnitz, Ard A. Louis, Grant Lythe, Carmen Molina-París, Ion I. Moraru, Andrew Mugler, Brian Munsky, Joe Natale, Ilya Nemenman, Karol Nienałtowski, Marco S. Nobile, Maria Nowicka, Sarah Olson, Alan S. Perelson, Linda R. Petzold, Sreenivasan Ponnambalam, Arya Pourzanjani, Ruy M. Ribeiro, William Raymond, William Raymond, Herbert M. Sauro, Michael A. Savageau, Abhyudai Singh, James C. Schaff, Boris M. Slepchenko, Thomas R. Sokolowski, Petr Šulc, Andrea Tangherloni, Pieter Rein ten Wolde, Philipp Thomas, Karen Tkach Tuzman, Lev S. Tsimring, Dan Vasilescu, Margaritis Voliotis, Lisa Weber

Computational Methods With Applications In Bioinformatics Analysis

Author : Jeffrey J P Tsai
Publisher : World Scientific
ISBN 13 : 981320799X
Total Pages : 233 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Computational Methods With Applications In Bioinformatics Analysis by : Jeffrey J P Tsai

Download or read book Computational Methods With Applications In Bioinformatics Analysis written by Jeffrey J P Tsai and published by World Scientific. This book was released on 2017-06-09 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Genome Analysis

Author : Richard C. Deonier
Publisher : Springer Science & Business Media
ISBN 13 : 0387288074
Total Pages : 542 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Computational Genome Analysis by : Richard C. Deonier

Download or read book Computational Genome Analysis written by Richard C. Deonier and published by Springer Science & Business Media. This book was released on 2005-12-27 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.

Methods in Computational Biology

Author : Ross Carlson
Publisher : MDPI
ISBN 13 : 3039211633
Total Pages : 214 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Methods in Computational Biology by : Ross Carlson

Download or read book Methods in Computational Biology written by Ross Carlson and published by MDPI. This book was released on 2019-07-03 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections: • Reviews of Computational Methods • Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels • The Interface of Biotic and Abiotic Processes • Processing of Large Data Sets for Enhanced Analysis • Parameter Optimization and Measurement