Compact Handbook of Computational Biology
Author | : Andrzej K. Konopka |
Publisher | : |
Total Pages | : 560 |
Release | : 2004 |
Genre | : Biology |
ISBN | : 9780012950005 |
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Author | : Andrzej K. Konopka |
Publisher | : |
Total Pages | : 560 |
Release | : 2004 |
Genre | : Biology |
ISBN | : 9780012950005 |
Author | : A.K. Konopka |
Publisher | : CRC Press |
Total Pages | : 572 |
Release | : 2004-08-30 |
Genre | : Mathematics |
ISBN | : 020302141X |
The assimilation of computational methods into the life sciences has played an important role in advancing biological research. From sequencing genomes to discovering motifs in large collections of functionally equivalent sequences of nucleic acids and proteins, the value of powerful computational tools has become abundantly clear. The Compact Hand
Author | : Bernhard Haubold |
Publisher | : Springer Science & Business Media |
Total Pages | : 329 |
Release | : 2006-08-09 |
Genre | : Science |
ISBN | : 3764373873 |
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.
Author | : Srinivas Aluru |
Publisher | : CRC Press |
Total Pages | : 1108 |
Release | : 2005-12-21 |
Genre | : Computers |
ISBN | : 1420036270 |
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology of
Author | : Srinivas Aluru |
Publisher | : Chapman and Hall/CRC |
Total Pages | : 2406 |
Release | : 2016-01-26 |
Genre | : Mathematics |
ISBN | : 9781439874097 |
Now available as a three-volume set, the second edition of this popular handbook provides expanded coverage of many important topics and recent developments in computational biology. With updates in each chapter, the book incorporates the latest research and applications in systems biology, including next-generation sequencing. The three volumes focus on Computational Genomics, Computational Systems Biology, and Computational Structural Biology.
Author | : Lenwood S. Heath |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2014-08-15 |
Genre | : Computers |
ISBN | : 9781489973481 |
Bioinformatics is growing by leaps and bounds; theories/algorithms/statistical techniques are constantly evolving. Nevertheless, a core body of algorithmic ideas have emerged and researchers are beginning to adopt a "problem solving" approach to bioinformatics, wherein they use solutions to well-abstracted problems as building blocks to solve larger scope problems. Problem Solving Handbook for Computational Biology and Bioinformatics is an edited volume contributed by world renowned leaders in this field. This comprehensive handbook with problem solving emphasis, covers all relevant areas of computational biology and bioinformatics. Web resources and related themes are highlighted at every opportunity in this central easy-to-read reference. Designed for advanced-level students, researchers and professors in computer science and bioengineering as a reference or secondary text, this handbook is also suitable for professionals working in this industry.
Author | : Scott T. Kelley |
Publisher | : John Wiley & Sons |
Total Pages | : 194 |
Release | : 2020-08-06 |
Genre | : Science |
ISBN | : 1683670035 |
An introduction to the world of bioinformatics Massive increases in computing power and the ability to routinely sequence whole genomes of living organisms have begun to fundamentally alter our understanding of biology, medicine, and agriculture. At the intersection of the growing information and genomics revolutions sits bioinformatics, which uses modern computational power to reveal patterns in biological data sets, especially DNA, RNA, and protein sequences. Computational Biology: A Hypertextbook, by Scott Kelley and Dennis Didulo, provides a wonderful introduction for anyone who wants to learn the basics of bioinformatics. This book is more than a textbook because of the wealth of online ancillary materials and how the print and electronic components are integrated to form a complete educational resource. Aspects that make Computational Biology: A Hypertextbook a unique and valuable tool for teaching and learning bioinformatics include Clear explanations of the basic biology of DNA, RNA, and proteins and how the related bioinformatics algorithms work Extensive exercises that enable students to practice with the same bioinformatics applications that are used by scientists worldwide Tutorials, sample data sets, and interactive learning tools developed with teachers in mind and field-tested by hundreds of students Online tutorials and curated web links that are accurate (instead of frustrating!) and won't lead to dead ends Online resources that work on multiple platforms and electronic devices Computational Biology: A Hypertextbook is written in an accessible voice, punctuated with humor, and designed to significantly increase computational competencies. Biology and computer science undergraduate and graduate students will thoroughly enjoy learning from this unique hypertextbook, as will anyone with an interest in exploring this burgeoning topic.
Author | : Michael S. Waterman |
Publisher | : CRC Press |
Total Pages | : 448 |
Release | : 2018-05-02 |
Genre | : Mathematics |
ISBN | : 1351437097 |
Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences. Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.
Author | : Limin Angela Liu |
Publisher | : IGI Global |
Total Pages | : 0 |
Release | : 2011 |
Genre | : Computers |
ISBN | : 9781609604912 |
"This book offers information on the state-of-the-art development in the fields of computational biology and systems biology, presenting methods, tools, and applications of these fields by many leading experts around the globe"--Provided by publisher.
Author | : S.L. Salzberg |
Publisher | : Elsevier |
Total Pages | : 399 |
Release | : 1998-06-19 |
Genre | : Computers |
ISBN | : 0080860931 |
Computational biology is a rapidly expanding field, and the number and variety of computational methods used for DNA and protein sequence analysis is growing every day. These algorithms are extremely valuable to biotechnology companies and to researchers and teachers in universities. This book explains the latest computer technology for analyzing DNA, RNA, and protein sequences. Clear and easy to follow, designed specifically for the non-computer scientist, it will help biologists make better choices on which algorithm to use. New techniques and demonstrations are elucidated, as are state-of-the-art problems, and more advanced material on the latest algorithms. The primary audience for this volume are molecular biologists working either in biotechnology companies or academic research environments, individual researchers and the institutions they work for, and students. Any biologist who relies on computers should want this book. A secondary audience will be computer scientists developing techniques with applications in biology. An excellent reference for leading techniques, it will also help introduce computer scientists to the biology problems. This is an outstanding work which will be ideal for the increasing number of scientists moving into computational biology.