Modelling and Computer Methods in Molecular Biology and Genetics
Author : Vadim Aleksandrovich Ratner
Publisher :
Page : 532 pages
File Size : 21,98 MB
Release : 1992
Category : Computers
ISBN :
Author : Vadim Aleksandrovich Ratner
Publisher :
Page : 532 pages
File Size : 21,98 MB
Release : 1992
Category : Computers
ISBN :
Author : Sarah Barron
Publisher : DIANE Publishing
Page : 122 pages
File Size : 37,11 MB
Release : 1991
Category : Science
ISBN : 9780941375917
Provides a definitive bibliographic review of the literature related to DNA mapping and sequence analysis, with a focus on computer and mathematical aspects of molecular biology and genetics. Over 2200 entries, arranged by author's name.
Author :
Publisher :
Page : 22 pages
File Size : 12,41 MB
Release : 1990
Category :
ISBN :
Author : Richard Durbin
Publisher : Cambridge University Press
Page : 372 pages
File Size : 34,13 MB
Release : 1998-04-23
Category : Science
ISBN : 113945739X
Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the Human Genome Project. For example, hidden Markov models are used for analysing biological sequences, linguistic-grammar-based probabilistic models for identifying RNA secondary structure, and probabilistic evolutionary models for inferring phylogenies of sequences from different organisms. This book gives a unified, up-to-date and self-contained account, with a Bayesian slant, of such methods, and more generally to probabilistic methods of sequence analysis. Written by an interdisciplinary team of authors, it aims to be accessible to molecular biologists, computer scientists, and mathematicians with no formal knowledge of the other fields, and at the same time present the state-of-the-art in this new and highly important field.
Author : Nataša Jonoska
Publisher : Springer Science & Business Media
Page : 522 pages
File Size : 24,75 MB
Release : 2013-12-23
Category : Computers
ISBN : 3642401937
Theoretical tools and insights from discrete mathematics, theoretical computer science, and topology now play essential roles in our understanding of vital biomolecular processes. The related methods are now employed in various fields of mathematical biology as instruments to "zoom in" on processes at a molecular level. This book contains expository chapters on how contemporary models from discrete mathematics – in domains such as algebra, combinatorics, and graph and knot theories – can provide perspective on biomolecular problems ranging from data analysis, molecular and gene arrangements and structures, and knotted DNA embeddings via spatial graph models to the dynamics and kinetics of molecular interactions. The contributing authors are among the leading scientists in this field and the book is a reference for researchers in mathematics and theoretical computer science who are engaged with modeling molecular and biological phenomena using discrete methods. It may also serve as a guide and supplement for graduate courses in mathematical biology or bioinformatics, introducing nontraditional aspects of mathematical biology.
Author : Victor Bloomfield
Publisher : Springer Science & Business Media
Page : 325 pages
File Size : 27,31 MB
Release : 2009-06-05
Category : Science
ISBN : 1441900837
This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein?uential2003reportfromtheNationalAcademy of Sciences, “BIO 2010: Transforming Undergraduate Education for Future - search Biologists” [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con?uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti?c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.
Author : Alan Moses
Publisher : CRC Press
Page : 281 pages
File Size : 10,32 MB
Release : 2017-01-06
Category : Computers
ISBN : 1482258609
• Assumes no background in statistics or computers • Covers most major types of molecular biological data • Covers the statistical and machine learning concepts of most practical utility (P-values, clustering, regression, regularization and classification) • Intended for graduate students beginning careers in molecular biology, systems biology, bioengineering and genetics
Author : S.L. Salzberg
Publisher : Elsevier
Page : 399 pages
File Size : 15,21 MB
Release : 1998-06-19
Category : 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.
Author : Masatoshi Nei
Publisher : Columbia University Press
Page : 526 pages
File Size : 35,72 MB
Release : 1987
Category : Computers
ISBN : 9780231063210
-- "The Scientist"
Author : Andres Kriete
Publisher : Academic Press
Page : 549 pages
File Size : 17,91 MB
Release : 2013-11-26
Category : Science
ISBN : 0124059384
This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. - Logical information flow aids understanding of basic building blocks of life through disease phenotypes - Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns - Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation - Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.