Textbook Bioinformatics

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Bioinformatics Algorithms

Author : Phillip Compeau
Publisher :
ISBN 13 : 9780990374633
Total Pages : pages
Book Rating : 4.3/5 (746 download)

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Book Synopsis Bioinformatics Algorithms by : Phillip Compeau

Download or read book Bioinformatics Algorithms written by Phillip Compeau and published by . This book was released on 1986-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides.

Bioinformatics for Beginners

Author : Supratim Choudhuri
Publisher : Elsevier
ISBN 13 : 0124105106
Total Pages : 238 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Bioinformatics for Beginners by : Supratim Choudhuri

Download or read book Bioinformatics for Beginners written by Supratim Choudhuri and published by Elsevier. This book was released on 2014-05-09 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools provides a coherent and friendly treatment of bioinformatics for any student or scientist within biology who has not routinely performed bioinformatic analysis. The book discusses the relevant principles needed to understand the theoretical underpinnings of bioinformatic analysis and demonstrates, with examples, targeted analysis using freely available web-based software and publicly available databases. Eschewing non-essential information, the work focuses on principles and hands-on analysis, also pointing to further study options. - Avoids non-essential coverage, yet fully describes the field for beginners - Explains the molecular basis of evolution to place bioinformatic analysis in biological context - Provides useful links to the vast resource of publicly available bioinformatic databases and analysis tools - Contains over 100 figures that aid in concept discovery and illustration

Essential Bioinformatics

Author : Jin Xiong
Publisher : Cambridge University Press
ISBN 13 : 113945062X
Total Pages : 360 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Essential Bioinformatics by : Jin Xiong

Download or read book Essential Bioinformatics written by Jin Xiong and published by Cambridge University Press. This book was released on 2006-03-13 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

Bioinformatics Data Skills

Author : Vince Buffalo
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449367518
Total Pages : 538 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Bioinformatics Data Skills by : Vince Buffalo

Download or read book Bioinformatics Data Skills written by Vince Buffalo and published by "O'Reilly Media, Inc.". This book was released on 2015-07 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, youâ??ll learn how to use freely available open source tools to extract meaning from large complex biological data sets. At no other point in human history has our ability to understand lifeâ??s complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, youâ??re ready to get started. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Process bioinformatics data with powerful Unix pipelines and data tools Learn how to use exploratory data analysis techniques in the R language Use efficient methods to work with genomic range data and range operations Work with common genomics data file formats like FASTA, FASTQ, SAM, and BAM Manage your bioinformatics project with the Git version control system Tackle tedious data processing tasks with with Bash scripts and Makefiles

Modern Statistics for Modern Biology

Author : SUSAN. HUBER HOLMES (WOLFGANG.)
Publisher : Cambridge University Press
ISBN 13 : 1108427022
Total Pages : 407 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Modern Statistics for Modern Biology by : SUSAN. HUBER HOLMES (WOLFGANG.)

Download or read book Modern Statistics for Modern Biology written by SUSAN. HUBER HOLMES (WOLFGANG.) and published by Cambridge University Press. This book was released on 2018 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bioinformatics and Computational Biology

Author : Basant K. Tiwary
Publisher : Springer Nature
ISBN 13 : 9811642419
Total Pages : 239 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Bioinformatics and Computational Biology by : Basant K. Tiwary

Download or read book Bioinformatics and Computational Biology written by Basant K. Tiwary and published by Springer Nature. This book was released on 2021-11-23 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Andreas D. Baxevanis
Publisher : John Wiley & Sons
ISBN 13 : 0471461016
Total Pages : 504 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Bioinformatics by : Andreas D. Baxevanis

Download or read book Bioinformatics written by Andreas D. Baxevanis and published by John Wiley & Sons. This book was released on 2004-03-24 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In this book, Andy Baxevanis and Francis Ouellette . . . haveundertaken the difficult task of organizing the knowledge in thisfield in a logical progression and presenting it in a digestibleform. And they have done an excellent job. This fine text will makea major impact on biological research and, in turn, on progress inbiomedicine. We are all in their debt." —Eric Lander from the Foreword Reviews from the First Edition "...provides a broad overview of the basic tools for sequenceanalysis ... For biologists approaching this subject for the firsttime, it will be a very useful handbook to keep on the shelf afterthe first reading, close to the computer." —Nature Structural Biology "...should be in the personal library of any biologist who usesthe Internet for the analysis of DNA and protein sequencedata." —Science "...a wonderful primer designed to navigate the novice throughthe intricacies of in scripto analysis ... The accomplished genesearcher will also find this book a useful addition to theirlibrary ... an excellent reference to the principles ofbioinformatics." —Trends in Biochemical Sciences This new edition of the highly successful Bioinformatics:A Practical Guide to the Analysis of Genes and Proteinsprovides a sound foundation of basic concepts, with practicaldiscussions and comparisons of both computational tools anddatabases relevant to biological research. Equipping biologists with the modern tools necessary to solvepractical problems in sequence data analysis, the Second Editioncovers the broad spectrum of topics in bioinformatics, ranging fromInternet concepts to predictive algorithms used on sequence,structure, and expression data. With chapters written by experts inthe field, this up-to-date reference thoroughly covers vitalconcepts and is appropriate for both the novice and the experiencedpractitioner. Written in clear, simple language, the book isaccessible to users without an advanced mathematical or computerscience background. This new edition includes: All new end-of-chapter Web resources, bibliographies, andproblem sets Accompanying Web site containing the answers to the problems,as well as links to relevant Web resources New coverage of comparative genomics, large-scale genomeanalysis, sequence assembly, and expressed sequence tags A glossary of commonly used terms in bioinformatics andgenomics Bioinformatics: A Practical Guide to the Analysis of Genesand Proteins, Second Edition is essential reading forresearchers, instructors, and students of all levels in molecularbiology and bioinformatics, as well as for investigators involvedin genomics, positional cloning, clinical research, andcomputational biology.

Introduction to Bioinformatics

Author : Arthur M. Lesk
Publisher :
ISBN 13 : 0198794142
Total Pages : 433 pages
Book Rating : 4.1/5 (987 download)

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Book Synopsis Introduction to Bioinformatics by : Arthur M. Lesk

Download or read book Introduction to Bioinformatics written by Arthur M. Lesk and published by . This book was released on 2019 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the biological background of bioinformatics.

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Author : Robert Gentleman
Publisher : Springer Science & Business Media
ISBN 13 : 0387293620
Total Pages : 478 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Bioinformatics and Computational Biology Solutions Using R and Bioconductor by : Robert Gentleman

Download or read book Bioinformatics and Computational Biology Solutions Using R and Bioconductor written by Robert Gentleman and published by Springer Science & Business Media. This book was released on 2005-12-29 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 Algorithms

Author : Ion Mandoiu
Publisher : John Wiley & Sons
ISBN 13 : 0470097736
Total Pages : 528 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Bioinformatics Algorithms by : Ion Mandoiu

Download or read book Bioinformatics Algorithms written by Ion Mandoiu and published by John Wiley & Sons. This book was released on 2008-02-25 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.

Statistical Methods in Bioinformatics

Author : Warren J. Ewens
Publisher : Springer Science & Business Media
ISBN 13 : 0387400826
Total Pages : 616 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Statistical Methods in Bioinformatics by : Warren J. Ewens

Download or read book Statistical Methods in Bioinformatics written by Warren J. Ewens and published by Springer Science & Business Media. This book was released on 2005-09-30 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods. The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized. The book is written so as to appeal to biologists and computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standard mathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to develop aspects of the theory outlined in the main text. Warren J. Ewens holds the Christopher H. Brown Distinguished Professorship at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics. He is a senior editor of Annals of Human Genetics and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceedings of the Royal Society B and SIAM Journal in Mathematical Biology. He is a fellow of the Royal Society and the Australian Academy of Science. Gregory R. Grant is a senior bioinformatics researcher in the University of Pennsylvania Computational Biology and Informatics Laboratory. He obtained his Ph.D. in number theory from the University of Maryland in 1995 and his Masters in Computer Science from the University of Pennsylvania in 1999. Comments on the first edition: "This book would be an ideal text for a postgraduate course...[and] is equally well suited to individual study.... I would recommend the book highly." (Biometrics) "Ewens and Grant have given us a very welcome introduction to what is behind those pretty [graphical user] interfaces." (Naturwissenschaften) "The authors do an excellent job of presenting the essence of the material without getting bogged down in mathematical details." (Journal American Statistical Association) "The authors have restructured classical material to a great extent and the new organization of the different topics is one of the outstanding services of the book." (Metrika)

Systems Biology

Author : Edda Klipp
Publisher : John Wiley & Sons
ISBN 13 : 3527675663
Total Pages : 504 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Systems Biology by : Edda Klipp

Download or read book Systems Biology written by Edda Klipp and published by John Wiley & Sons. This book was released on 2016-03-28 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This advanced textbook is tailored for an introductory course in Systems Biology and is well-suited for biologists as well as engineers and computer scientists. It comes with student-friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs. The text is written in an easily accessible style and includes numerous worked examples and study questions in each chapter. For this edition, a section on medical systems biology has been included.

Textbook Of Bioinformatics, A: Information-theoretic Perspectives Of Bioengineering And Biological Complexes

Author : Perambur S Neelakanta
Publisher : World Scientific
ISBN 13 : 9811212902
Total Pages : 684 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Textbook Of Bioinformatics, A: Information-theoretic Perspectives Of Bioengineering And Biological Complexes by : Perambur S Neelakanta

Download or read book Textbook Of Bioinformatics, A: Information-theoretic Perspectives Of Bioengineering And Biological Complexes written by Perambur S Neelakanta and published by World Scientific. This book was released on 2020-08-24 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on bioinformatics is designed as an introduction to the conventional details of genomics and proteomics as well as a practical comprehension text with an extended scope on the state-of-the-art bioinformatic details pertinent to next-generation sequencing, translational/clinical bioinformatics and vaccine-design related viral informatics.It includes four major sections: (i) An introduction to bioinformatics with a focus on the fundamentals of information-theory applied to biology/microbiology, with notes on bioinformatic resources, data bases, information networking and tools; (ii) a collection of annotations on the analytics of biomolecular sequences, with pertinent details presented on biomolecular informatics, pairwise and multiple sequences, viral sequence informatics, next-generation sequencing and translational/clinical bioinformatics; (iii) a novel section on cytogenetic and organelle bioinformatics explaining the entropy-theoretics of cellular structures and the underlying informatics of synteny correlations; and (iv) a comprehensive presentation on phylogeny and species informatics.The book is aimed at students, faculty and researchers in biology, health/medical sciences, veterinary/agricultural sciences, bioengineering, biotechnology and genetic engineering. It will be a useful companion for managerial personnel in the biotechnology and bioengineering industries as well as in health/medical science.

Bioinformatics Programming Using Python

Author : Mitchell L Model
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449382908
Total Pages : 526 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Bioinformatics Programming Using Python by : Mitchell L Model

Download or read book Bioinformatics Programming Using Python written by Mitchell L Model and published by "O'Reilly Media, Inc.". This book was released on 2009-12-08 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Powerful, flexible, and easy to use, Python is an ideal language for building software tools and applications for life science research and development. This unique book shows you how to program with Python, using code examples taken directly from bioinformatics. In a short time, you'll be using sophisticated techniques and Python modules that are particularly effective for bioinformatics programming. Bioinformatics Programming Using Python is perfect for anyone involved with bioinformatics -- researchers, support staff, students, and software developers interested in writing bioinformatics applications. You'll find it useful whether you already use Python, write code in another language, or have no programming experience at all. It's an excellent self-instruction tool, as well as a handy reference when facing the challenges of real-life programming tasks. Become familiar with Python's fundamentals, including ways to develop simple applications Learn how to use Python modules for pattern matching, structured text processing, online data retrieval, and database access Discover generalized patterns that cover a large proportion of how Python code is used in bioinformatics Learn how to apply the principles and techniques of object-oriented programming Benefit from the "tips and traps" section in each chapter

Fundamental Concepts of Bioinformatics

Author : Dan E. Krane
Publisher :
ISBN 13 : 9780321190222
Total Pages : 314 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Fundamental Concepts of Bioinformatics by : Dan E. Krane

Download or read book Fundamental Concepts of Bioinformatics written by Dan E. Krane and published by . This book was released on 2003 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Co-authored by a biologist and computer scientist, this book is designed to make bioinformatics useful to undergraduates and prepare them for more advanced work. It covers problems at the end of each chapter, which use real data to help students apply what they have learned from both a statistical and biological point of view.

Exploring Bioinformatics

Author : Caroline St. Clair
Publisher : Jones & Bartlett Publishers
ISBN 13 : 128402346X
Total Pages : 309 pages
Book Rating : 4.2/5 (84 download)

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Book Synopsis Exploring Bioinformatics by : Caroline St. Clair

Download or read book Exploring Bioinformatics written by Caroline St. Clair and published by Jones & Bartlett Publishers. This book was released on 2013-12-12 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly revised and updated, Exploring Bioinformatics: A Project-Based Approach, Second Edition is intended for an introductory course in bioinformatics at the undergraduate level. Through hands-on projects, students are introduced to current biological problems and then explore and develop bioinformatic solutions to these issues. Each chapter presents a key problem, provides basic biological concepts, introduces computational techniques to address the problem, and guides students through the use of existing web-based tools and software solutions. This progression prepares students to tackle the On-Your-Own Project, where they develop their own software solutions. Topics such as antibiotic resistance, genetic disease, and genome sequencing provide context and relevance to capture student interest.

Bioinformatics

Author : Andrzej Polanski
Publisher : Springer Science & Business Media
ISBN 13 : 3540241663
Total Pages : 386 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Bioinformatics by : Andrzej Polanski

Download or read book Bioinformatics written by Andrzej Polanski and published by Springer Science & Business Media. This book was released on 2007-04-19 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents mathematical models in bioinformatics and describes biological problems that inspire the computer science tools used to manage the enormous data sets involved. The first part of the book covers mathematical and computational methods, with practical applications presented in the second part. The mathematical presentation avoids unnecessary formalism, while remaining clear and precise. The book closes with a thorough bibliography, reaching from classic research results to very recent findings. This volume is suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on mathematical and computer science background.