Bioinformatics Computing PDF Download
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| Author | : Bryan P. Bergeron |
| Publisher | : Prentice Hall Professional |
| Total Pages | : 472 |
| Release | : 2003 |
| Genre | : Computers |
| ISBN | : 9780131008250 |
Download Bioinformatics Computing Book in PDF, ePub and Kindle
Comprehensive and concise, this handbook has chapters on computing visualization, large database designs, advanced pattern matching and other key bioinformatics techniques. It is a practical guide to computing in the growing field of Bioinformatics--the study of how information is represented and transmitted in biological systems, starting at the molecular level.
| Author | : Basant K. Tiwary |
| Publisher | : Springer Nature |
| Total Pages | : 239 |
| Release | : 2021-11-23 |
| Genre | : Medical |
| ISBN | : 9811642419 |
Download Bioinformatics and Computational Biology Book in PDF, ePub and Kindle
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.
| Author | : Hans-Joachim Böckenhauer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 395 |
| Release | : 2007-06-06 |
| Genre | : Science |
| ISBN | : 354071913X |
Download Algorithmic Aspects of Bioinformatics Book in PDF, ePub and Kindle
This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. Figures, chapter summaries, detailed derivations, and examples, are provided.
| Author | : Robert Gentleman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 478 |
| Release | : 2005-12-29 |
| Genre | : Computers |
| ISBN | : 0387293620 |
Download Bioinformatics and Computational Biology Solutions Using R and Bioconductor Book in PDF, ePub and Kindle
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.
| Author | : Cynthia Gibas |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 452 |
| Release | : 2001 |
| Genre | : Computers |
| ISBN | : 9781565926646 |
Download Developing Bioinformatics Computer Skills Book in PDF, ePub and Kindle
This practical, hands-on guide shows how to develop a structured approach to biological data and the tools needed to analyze it. It's aimed at scientists and students learning computational approaches to biological data, as well as experienced biology researchers starting to use computers to handle data.
| Author | : |
| Publisher | : Tata McGraw-Hill Education |
| Total Pages | : 0 |
| Release | : 2009 |
| Genre | : Bioinformatics |
| ISBN | : 9780070146242 |
Download Bioinformatics Book in PDF, ePub and Kindle
| Author | : David Wayne Ussery |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 272 |
| Release | : 2009-02-26 |
| Genre | : Science |
| ISBN | : 1848002548 |
Download Computing for Comparative Microbial Genomics Book in PDF, ePub and Kindle
Overview and Goals This book describes how to visualize and compare bacterial genomes. Sequencing technologies are becoming so inexpensive that soon going for a cup of coffee will be more expensive than sequencing a bacterial genome. Thus, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. It is a long road from molecular biology to systems biology, and in a sense this text can be thought of as a path bridging these ? elds. The goal of this book is to p- vide a coherent set of tools and a methodological framework for starting with raw DNA sequences and producing fully annotated genome sequences, and then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Organization and Features The text is divided into four main parts: Introduction, Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on to the methods of comparing genomes. First, a brief overview of molecular biology and of the concept of sequences as biological inf- mation are given.
| Author | : Albert Y. Zomaya |
| Publisher | : John Wiley & Sons |
| Total Pages | : 817 |
| Release | : 2006-04-21 |
| Genre | : Computers |
| ISBN | : 0471718483 |
Download Parallel Computing for Bioinformatics and Computational Biology Book in PDF, ePub and Kindle
Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.
| Author | : Scott T. Kelley |
| Publisher | : John Wiley & Sons |
| Total Pages | : 181 |
| Release | : 2018-01-01 |
| Genre | : Science |
| ISBN | : 1683673034 |
Download Computational Biology Book in PDF, ePub and Kindle
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.
| Author | : Joseph A. November |
| Publisher | : JHU Press |
| Total Pages | : 361 |
| Release | : 2012-06-01 |
| Genre | : Technology & Engineering |
| ISBN | : 1421406659 |
Download Biomedical Computing Book in PDF, ePub and Kindle
Winner of the Computer History Museum Prize of the Special Interest Group: Computers, Information, and Society Imagine biology and medicine today without computers. What would laboratory work be like if electronic databases and statistical software did not exist? Would disciplines like genomics even be feasible if we lacked the means to manage and manipulate huge volumes of digital data? How would patients fare in a world absent CT scans, programmable pacemakers, and computerized medical records? Today, computers are a critical component of almost all research in biology and medicine. Yet, just fifty years ago, the study of life was by far the least digitized field of science, its living subject matter thought too complex and dynamic to be meaningfully analyzed by logic-driven computers. In this long-overdue study, historian Joseph November explores the early attempts, in the 1950s and 1960s, to computerize biomedical research in the United States. Computers and biomedical research are now so intimately connected that it is difficult to imagine when such critical work was offline. Biomedical Computing transports readers back to such a time and investigates how computers first appeared in the research lab and doctor's office. November examines the conditions that made possible the computerization of biology—including strong technological, institutional, and political support from the National Institutes of Health—and shows not only how digital technology transformed the life sciences but also how the intersection of the two led to important developments in computer architecture and software design. The history of this phenomenon has been only vaguely understood. November's thoroughly researched and lively study makes clear for readers the motives behind computerizing the study of life and how that technology profoundly affects biomedical research today.
