Biology And Computation

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A Primer for Computational Biology

Shawn T. O'Neil
A Primer for Computational Biology Book PDF

Author : Shawn T. O'Neil
Publisher : Unknown
Page : 0 pages
File Size : 45,9 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.

Biological Computation

Ehud Lamm,Ron Unger
Biological Computation Book PDF

Author : Ehud Lamm,Ron Unger
Publisher : CRC Press
Page : 332 pages
File Size : 52,5 Mb
Release : 2011-05-25
Category : Mathematics
ISBN : 9781420087963

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Biological Computation by Ehud Lamm,Ron Unger Pdf

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book

Computational Biology

Scott T. Kelley,Dennis Didulo
Computational Biology Book PDF

Author : Scott T. Kelley,Dennis Didulo
Publisher : John Wiley & Sons
Page : 181 pages
File Size : 51,7 Mb
Release : 2018-01-01
Category : Science
ISBN : 9781683673033

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Computational Biology by Scott T. Kelley,Dennis Didulo Pdf

This textbook is for anyone who needs to learn the basics of bioinformatics—the use of computational methods to better understand biological systems. Computational Biology covers the principles and applications of the computational methods used to study DNA, RNA, and proteins, including using biological databases such as NCBI and UniProt; performing BLAST, sequence alignments, and structural predictions; and creating phylogenetic trees. It includes a primer that can be used as a jumping off point for learning computer programming for bioinformatics. This text can be used as a self-study guide, as a course focused on computational methods in biology/bioinformatics, or to supplement general courses that touch on topics included within the book. Computational Biology's robust interactive online components “gamify” the study of bioinformatics, allowing the reader to practice randomly generated problems on their own time to build confidence and skill and gain practical real-world experience. The online component also assures that the content being taught is up to date and accurately reflects the ever-changing landscape of bioinformatics web-based programs.

Current Topics in Computational Molecular Biology

Tao Jiang,Ying Xu,Michael Q. Zhang
Current Topics in Computational Molecular Biology Book PDF

Author : Tao Jiang,Ying Xu,Michael Q. Zhang
Publisher : MIT Press
Page : 570 pages
File Size : 54,6 Mb
Release : 2002
Category : Computers
ISBN : 0262100924

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Current Topics in Computational Molecular Biology by Tao Jiang,Ying Xu,Michael Q. Zhang Pdf

A survey of current topics in computational molecular biology. Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine. This survey of computational molecular biology covers traditional topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying biological problems. The book also contains an introductory chapter, as well as one on general statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained review of a specific subject. Not for sale in China, including Hong Kong.

Modeling in Computational Biology and Biomedicine

Frédéric Cazals,Pierre Kornprobst
Modeling in Computational Biology and Biomedicine Book PDF

Author : Frédéric Cazals,Pierre Kornprobst
Publisher : Springer Science & Business Media
Page : 333 pages
File Size : 51,5 Mb
Release : 2012-11-06
Category : Mathematics
ISBN : 9783642312083

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Modeling in Computational Biology and Biomedicine by Frédéric Cazals,Pierre Kornprobst Pdf

Computational biology, mathematical biology, biology and biomedicine are currently undergoing spectacular progresses due to a synergy between technological advances and inputs from physics, chemistry, mathematics, statistics and computer science. The goal of this book is to evidence this synergy by describing selected developments in the following fields: bioinformatics, biomedicine and neuroscience. This work is unique in two respects - first, by the variety and scales of systems studied and second, by its presentation: Each chapter provides the biological or medical context, follows up with mathematical or algorithmic developments triggered by a specific problem and concludes with one or two success stories, namely new insights gained thanks to these methodological developments. It also highlights some unsolved and outstanding theoretical questions, with a potentially high impact on these disciplines. Two communities will be particularly interested in this book. The first one is the vast community of applied mathematicians and computer scientists, whose interests should be captured by the added value generated by the application of advanced concepts and algorithms to challenging biological or medical problems. The second is the equally vast community of biologists. Whether scientists or engineers, they will find in this book a clear and self-contained account of concepts and techniques from mathematics and computer science, together with success stories on their favorite systems. The variety of systems described represents a panoply of complementary conceptual tools. On a practical level, the resources listed at the end of each chapter (databases, software) offer invaluable support for getting started on a specific topic in the fields of biomedicine, bioinformatics and neuroscience.

Biological Computation

Ehud Lamm,Ron Unger
Biological Computation Book PDF

Author : Ehud Lamm,Ron Unger
Publisher : CRC Press
Page : 346 pages
File Size : 46,5 Mb
Release : 2011-05-25
Category : Science
ISBN : 9781420087956

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Biological Computation by Ehud Lamm,Ron Unger Pdf

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for solving difficult computational problems. A unified overview of computer science ideas inspired by biology, Biological Computation presents the most fundamental and significant concepts in this area. In the book, students discover that bacteria communicate, that DNA can be used for performing computations, how evolution solves optimization problems, that the way ants organize their nests can be applied to solve clustering problems, and what the human immune system can teach us about protecting computer networks. The authors discuss more biological examples such as these, along with the computational techniques developed from these scenarios. The text focuses on cellular automata, evolutionary computation, neural networks, and molecular computation. Each chapter explores the biological background, describes the computational techniques, gives examples of applications, discusses possible variants of the techniques, and includes exercises and solutions. The authors use the examples and exercises to illustrate key ideas and techniques. Clearly conveying the essence of the major computational approaches in the field, this book brings students to the point where they can either produce a working implementation of the techniques or effectively use one of the many available implementations. Moreover, the techniques discussed reflect fundamental principles that can be applied beyond bio-inspired computing. Supplementary material is available on Dr. Unger's website.

Learning and Inference in Computational Systems Biology

Neil D. Lawrence
Learning and Inference in Computational Systems Biology Book PDF

Author : Neil D. Lawrence
Publisher : Unknown
Page : 384 pages
File Size : 41,7 Mb
Release : 2010
Category : Computers
ISBN : STANFORD:36105215298956

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Learning and Inference in Computational Systems Biology by Neil D. Lawrence Pdf

Tools and techniques for biological inference problems at scales ranging from genome-wide to pathway-specific. Computational systems biology unifies the mechanistic approach of systems biology with the data-driven approach of computational biology. Computational systems biology aims to develop algorithms that uncover the structure and parameterization of the underlying mechanistic model--in other words, to answer specific questions about the underlying mechanisms of a biological system--in a process that can be thought of as learning or inference. This volume offers state-of-the-art perspectives from computational biology, statistics, modeling, and machine learning on new methodologies for learning and inference in biological networks.The chapters offer practical approaches to biological inference problems ranging from genome-wide inference of genetic regulation to pathway-specific studies. Both deterministic models (based on ordinary differential equations) and stochastic models (which anticipate the increasing availability of data from small populations of cells) are considered. Several chapters emphasize Bayesian inference, so the editors have included an introduction to the philosophy of the Bayesian approach and an overview of current work on Bayesian inference. Taken together, the methods discussed by the experts in Learning and Inference in Computational Systems Biology provide a foundation upon which the next decade of research in systems biology can be built. Florence d'Alch e-Buc, John Angus, Matthew J. Beal, Nicholas Brunel, Ben Calderhead, Pei Gao, Mark Girolami, Andrew Golightly, Dirk Husmeier, Johannes Jaeger, Neil D. Lawrence, Juan Li, Kuang Lin, Pedro Mendes, Nicholas A. M. Monk, Eric Mjolsness, Manfred Opper, Claudia Rangel, Magnus Rattray, Andreas Ruttor, Guido Sanguinetti, Michalis Titsias, Vladislav Vyshemirsky, David L. Wild, Darren Wilkinson, Guy Yosiphon

Frontiers in Computational and Systems Biology

Jianfeng Feng,Wenjiang Fu,Fengzhu Sun
Frontiers in Computational and Systems Biology Book PDF

Author : Jianfeng Feng,Wenjiang Fu,Fengzhu Sun
Publisher : Springer Science & Business Media
Page : 24 pages
File Size : 50,8 Mb
Release : 2010-06-14
Category : Science
ISBN : 9781849961967

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Frontiers in Computational and Systems Biology by Jianfeng Feng,Wenjiang Fu,Fengzhu Sun Pdf

Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations.

An Introduction to Computational Systems Biology

Karthik Raman
An Introduction to Computational Systems Biology Book PDF

Author : Karthik Raman
Publisher : CRC Press
Page : 359 pages
File Size : 48,9 Mb
Release : 2021-05-30
Category : Computers
ISBN : 9780429944529

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An Introduction to Computational Systems Biology by Karthik Raman Pdf

Emphasises a hands-on approach to modelling Strong emphasis on coding and software tools for systems biology Covers the entire spectrum of modelling, from static networks, to dynamic models Thoughtful exercises to test and enable student understanding of concepts Current chapters on exciting new developments like whole-cell modelling and community modelling

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

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

Author : Robert Gentleman,Vincent Carey,Wolfgang Huber,Rafael Irizarry,Sandrine Dudoit
Publisher : Springer Science & Business Media
Page : 478 pages
File Size : 46,8 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.

Bioinformatics and Computational Biology

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

Author : Hamid R. Arabnia,Fernando G. Tinetti,Quoc-Nam Tran
Publisher : 2019 Worldcomp Internation
Page : 0 pages
File Size : 53,8 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.

Computational Modeling of Genetic and Biochemical Networks

James M. Bower,Hamid Bolouri
Computational Modeling of Genetic and Biochemical Networks Book PDF

Author : James M. Bower,Hamid Bolouri
Publisher : MIT Press
Page : 386 pages
File Size : 55,7 Mb
Release : 2001
Category : Computers
ISBN : 0262524236

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Computational Modeling of Genetic and Biochemical Networks by James M. Bower,Hamid Bolouri Pdf

How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.

Introduction to Computational Biology

Bernhard Haubold,Thomas Wiehe
Introduction to Computational Biology Book PDF

Author : Bernhard Haubold,Thomas Wiehe
Publisher : Springer Science & Business Media
Page : 329 pages
File Size : 45,6 Mb
Release : 2006-08-09
Category : Science
ISBN : 9783764373870

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Introduction to Computational Biology by Bernhard Haubold,Thomas Wiehe Pdf

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.

Bioinformatics and Computational Biology

Basant K. Tiwary
Bioinformatics and Computational Biology Book PDF

Author : Basant K. Tiwary
Publisher : Springer Nature
Page : 239 pages
File Size : 53,8 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.

Quantitative Biology

Brian Munsky,William S. Hlavacek,Lev S. Tsimring
Quantitative Biology Book PDF

Author : Brian Munsky,William S. Hlavacek,Lev S. Tsimring
Publisher : MIT Press
Page : 729 pages
File Size : 45,8 Mb
Release : 2018-08-21
Category : Science
ISBN : 9780262038089

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Quantitative Biology by Brian Munsky,William S. Hlavacek,Lev S. Tsimring Pdf

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