Bioinformatics For Dummies

  • Filename: bioinformatics-for-dummies.
  • ISBN: 1118051106
  • Release Date: 2011-02-10
  • Number of pages: 456
  • Author: Jean-Michel Claverie
  • Publisher: John Wiley & Sons



Were you always curious about biology but were afraid to sit through long hours of dense reading? Did you like the subject when you were in high school but had other plans after you graduated? Now you can explore the human genome and analyze DNA without ever leaving your desktop! Bioinformatics For Dummies is packed with valuable information that introduces you to this exciting new discipline. This easy-to-follow guide leads you step by step through every bioinformatics task that can be done over the Internet. Forget long equations, computer-geek gibberish, and installing bulky programs that slow down your computer. You’ll be amazed at all the things you can accomplish just by logging on and following these trusty directions. You get the tools you need to: Analyze all types of sequences Use all types of databases Work with DNA and protein sequences Conduct similarity searches Build a multiple sequence alignment Edit and publish alignments Visualize protein 3-D structures Construct phylogenetic trees This up-to-date second edition includes newly created and popular databases and Internet programs as well as multiple new genomes. It provides tips for using servers and places to seek resources to find out about what’s going on in the bioinformatics world. Bioinformatics For Dummies will show you how to get the most out of your PC and the right Web tools so you’ll be searching databases and analyzing sequences like a pro!

Bioinformatics for Beginners

  • Filename: bioinformatics-for-beginners.
  • ISBN: 9780124105102
  • Release Date: 2014-05-09
  • Number of pages: 238
  • Author: Supratim Choudhuri
  • Publisher: Elsevier



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

Introduction to Bioinformatics

  • Filename: introduction-to-bioinformatics.
  • ISBN: 9780199651566
  • Release Date: 2014
  • Number of pages: 371
  • Author: Arthur Lesk
  • Publisher: Oxford University Press



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.

Genetics For Dummies

  • Filename: genetics-for-dummies.
  • ISBN: 0470634480
  • Release Date: 2010-04-07
  • Number of pages: 384
  • Author: Tara Rodden Robinson
  • Publisher: John Wiley & Sons



A plain-English guide to genetics Want to know more about genetics? This non-intimidating guide gets you up to speed on all the fundamentals and the most recent discoveries. Now with 25% new and revised material, Genetics For Dummies, 2nd Edition gives you clear and accessible coverage of this rapidly advancing field. From dominant and recessive inherited traits to the DNA double-helix, you get clear explanations in easy-to-understand terms. Plus, you'll see how people are applying genetic science to fight disease, develop new products, solve crimes . . . and even clone cats. Covers topics in a straightforward and effective manner Includes coverage of stem cell research, molecular genetics, behavioral genetics, genetic engineering, and more Explores ethical issues as they pertain to the study of genetics Whether you?re currently enrolled in a genetics course or are just looking for a refresher, Genetics For Dummies, 2nd Edition provides science lovers of all skill levels with easy-to-follow information on this fascinating subject.

Beginning Perl for Bioinformatics

  • Filename: beginning-perl-for-bioinformatics.
  • ISBN: 0596550472
  • Release Date: 2001-10-22
  • Number of pages: 386
  • Author: James Tisdall
  • Publisher: "O'Reilly Media, Inc."



With its highly developed capacity to detect patterns in data, Perl has become one of the most popular languages for biological data analysis. But if you're a biologist with little or no programming experience, starting out in Perl can be a challenge. Many biologists have a difficult time learning how to apply the language to bioinformatics. The most popular Perl programming books are often too theoretical and too focused on computer science for a non-programming biologist who needs to solve very specific problems.Beginning Perl for Bioinformatics is designed to get you quickly over the Perl language barrier by approaching programming as an important new laboratory skill, revealing Perl programs and techniques that are immediately useful in the lab. Each chapter focuses on solving a particular bioinformatics problem or class of problems, starting with the simplest and increasing in complexity as the book progresses. Each chapter includes programming exercises and teaches bioinformatics by showing and modifying programs that deal with various kinds of practical biological problems. By the end of the book you'll have a solid understanding of Perl basics, a collection of programs for such tasks as parsing BLAST and GenBank, and the skills to take on more advanced bioinformatics programming. Some of the later chapters focus in greater detail on specific bioinformatics topics. This book is suitable for use as a classroom textbook, for self-study, and as a reference.The book covers: Programming basics and working with DNA sequences and strings Debugging your code Simulating gene mutations using random number generators Regular expressions and finding motifs in data Arrays, hashes, and relational databases Regular expressions and restriction maps Using Perl to parse PDB records, annotations in GenBank, and BLAST output

Biostatistics For Dummies

  • Filename: biostatistics-for-dummies.
  • ISBN: 9781118553992
  • Release Date: 2013-07-10
  • Number of pages: 408
  • Author: John Pezzullo
  • Publisher: John Wiley & Sons



Score your highest in biostatistics Biostatistics is a required course for students of medicine, epidemiology, forestry, agriculture, bioinformatics, and public health. In years past this course has been mainly a graduate-level requirement; however its application is growing and course offerings at the undergraduate level are exploding. Biostatistics For Dummies is an excellent resource for those taking a course, as well as for those in need of a handy reference to this complex material. Biostatisticians—analysts of biological data—are charged with finding answers to some of the world's most pressing health questions: how safe or effective are drugs hitting the market today? What causes autism? What are the risk factors for cardiovascular disease? Are those risk factors different for men and women or different ethnic groups? Biostatistics For Dummies examines these and other questions associated with the study of biostatistics. Provides plain-English explanations of techniques and clinical examples to help Serves as an excellent course supplement for those struggling with the complexities of the biostatistics Tracks to a typical, introductory biostatistics course Biostatistics For Dummies is an excellent resource for anyone looking to succeed in this difficult course.

Practical Bioinformatics

  • Filename: practical-bioinformatics.
  • ISBN: 9781134063918
  • Release Date: 2012-09-26
  • Number of pages: 394
  • Author: Michael Agostino
  • Publisher: Garland Science



Practical Bioinformatics is specifically designed for biology majors, with a heavy emphasis on the steps required to perform bioinformatics analysis to answer biological questions. It is written for courses that have a practical, hands-on element and contains many exercises (for example, database searches, protein analysis, data interpretation) to complement the straightforward and practical topics. The chapters are focused on DNA, RNA, and protein sequence analysis‹frequently performed subsets of the field of bioinformatics‹taking the reader through the commonly asked question Ðwhat can I learn about this sequence?Ó A special note to established scientists: new genomic sequences are being published at an accelerating pace. Although new technology has led to unprecedented accuracy of the sequence, incomplete and challenging assemblies along with imperfect predictive methods are still generating gene models that require verification. With the sequence analysis skills learned from this book, features such as missing exons and incorrect termini can be easily recognized and more accurate gene models can be constructed.

R For Dummies

  • Filename: r-for-dummies.
  • ISBN: 9781119055839
  • Release Date: 2015-06-18
  • Number of pages: 432
  • Author: Andrie de Vries
  • Publisher: John Wiley & Sons



Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples, step-by-step exercises, and sample code, this friendly and accessible guide shows you how to know your way around lists, data frames, and other R data structures, while learning to interact with other programs, such as Microsoft Excel. You'll learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and so much more. R is an open source statistical environment and programming language that has become very popular in varied fields for the management and analysis of data. R provides a wide array of statistical and graphical techniques, and has become the standard among statisticians for software development and data analysis. R For Dummies, 2nd Edition takes the intimidation out of working with R and arms you with the knowledge and know-how to master the programming language of choice among statisticians and data analysts worldwide. Covers downloading, installing, and configuring R Includes tips for getting data in and out of R Offers advice on fitting regression models and ANOVA Provides helpful hints for working with graphics R For Dummies, 2nd Edition is an ideal introduction to R for complete beginners, as well as an excellent technical reference for experienced R programmers.

Bioinformatics

  • Filename: bioinformatics.
  • ISBN: 9780471461012
  • Release Date: 2004-03-24
  • Number of pages: 504
  • Author: Andreas D. Baxevanis
  • Publisher: John Wiley & Sons



"In this book, Andy Baxevanis and Francis Ouellette . . . have undertaken the difficult task of organizing the knowledge in this field in a logical progression and presenting it in a digestible form. And they have done an excellent job. This fine text will make a major impact on biological research and, in turn, on progress in biomedicine. 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 sequence analysis ... For biologists approaching this subject for the first time, it will be a very useful handbook to keep on the shelf after the first reading, close to the computer." —Nature Structural Biology "...should be in the personal library of any biologist who uses the Internet for the analysis of DNA and protein sequence data." —Science "...a wonderful primer designed to navigate the novice through the intricacies of in scripto analysis ... The accomplished gene searcher will also find this book a useful addition to their library ... an excellent reference to the principles of bioinformatics." —Trends in Biochemical Sciences This new edition of the highly successful Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins provides a sound foundation of basic concepts, with practical discussions and comparisons of both computational tools and databases relevant to biological research. Equipping biologists with the modern tools necessary to solve practical problems in sequence data analysis, the Second Edition covers the broad spectrum of topics in bioinformatics, ranging from Internet concepts to predictive algorithms used on sequence, structure, and expression data. With chapters written by experts in the field, this up-to-date reference thoroughly covers vital concepts and is appropriate for both the novice and the experienced practitioner. Written in clear, simple language, the book is accessible to users without an advanced mathematical or computer science background. This new edition includes: All new end-of-chapter Web resources, bibliographies, and problem 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 genome analysis, sequence assembly, and expressed sequence tags A glossary of commonly used terms in bioinformatics and genomics Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins, Second Edition is essential reading for researchers, instructors, and students of all levels in molecular biology and bioinformatics, as well as for investigators involved in genomics, positional cloning, clinical research, and computational biology.

Essential Bioinformatics

  • Filename: essential-bioinformatics.
  • ISBN: 9781139450621
  • Release Date: 2006-03-13
  • Number of pages:
  • Author: Jin Xiong
  • Publisher: Cambridge University Press



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

  • Filename: bioinformatics.
  • ISBN: 0195692306
  • Release Date: 2008-01-01
  • Number of pages: 560
  • Author: Zhumur Ghosh
  • Publisher: Oxford University Press, USA



Bioinformatics: Principles and Applications is a comprehensive text designed to cater to the needs of undergraduate and postgraduate students of biotechnology and bioinformatics. This book will also cater to the requirements of students pursuing short-term diploma as also DOEACC courses in bioinformatics. Beginning with the aim and scope of bioinformatics, the book discusses in detail the essentials of the subject, such as bio-algorithms, bio-databases, molecular viewers, gene annotation methods, molecular phylogeny, and bio-molecular simulations. It further discusses the applications of bioinformatics in protein modeling and computer-aided drug design. The book also presents a discussion on molecular docking, including guidelines for using AutoDock software. The usage of select bioinformatics commercial software modules is also discussed. Written in a lucid style and user-friendly manner, the book with its wide and up to date coverage will be useful to students as well as practising professionals.

Bioinformatics

  • Filename: bioinformatics.
  • ISBN: 9781412025171
  • Release Date: 2004
  • Number of pages: 100
  • Author: Hassan A. Sadek
  • Publisher: Trafford Publishing



This text is a resource for academics and students who want to develop collaborative learning environments. Dr. Hassan cites recent progress in bioinformatics databases that gives a hands-on, in-depth understanding that goes beyond rote memorization. Students interested in acquiring a working knowledge of the fundamentals of bioinformatics can easily become overwhelmed by the vast abundance of information on the subject. Bioinformatics: Principles and Basic Internet Applications has been specially designed to provide a concise yet comprehensive introduction to the field of bioinformatics. This brief, practical, tightly organized text shows you how to perform the biological applications. It is the only guide you need for bioinformatics every time.

Algorithms in Bioinformatics

  • Filename: algorithms-in-bioinformatics.
  • ISBN: 1420070347
  • Release Date: 2009-11-24
  • Number of pages: 407
  • Author: Wing-Kin Sung
  • Publisher: CRC Press



Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author’s own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the biological motivation and precisely defines the corresponding computational problems. He also includes detailed examples to illustrate each algorithm and end-of-chapter exercises for students to familiarize themselves with the topics. Supplementary material is available at http://www.comp.nus.edu.sg/~ksung/algo_in_bioinfo/ This classroom-tested textbook begins with basic molecular biology concepts. It then describes ways to measure sequence similarity, presents simple applications of the suffix tree, and discusses the problem of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of genome rearrangement, and the problem of motif finding. It also covers methods for predicting the secondary structure of RNA and for reconstructing the peptide sequence using mass spectrometry. The final chapter examines the computational problem related to population genetics.

Bioinformatics Data Skills

  • Filename: bioinformatics-data-skills.
  • ISBN: 1449367372
  • Release Date: 2015-05-25
  • Number of pages: 538
  • Author: Vince Buffalo
  • Publisher: O'Reilly Media



This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning languages like Perl and R alongside the Unix command line. But there's a huge gap between knowing a few programming languages and being prepared to analyze large amounts of biological data. Rather than teach bioinformatics as a set of workflows that are likely to change with this rapidly evolving field, this book demsonstrates the practice of bioinformatics through data skills. Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you'll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Focus on high-throughput (or "next generation") sequencing data Learn data analysis with modern methods, versus covering older theoretical concepts Understand how to choose and implement the best tool for the job Delve into methods that lead to easier, more reproducible, and robust bioinformatics analysis

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