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Author :
Publisher :
ISBN 13 :
Total Pages : 22 pages
Book Rating : 4.:/5 (18 download)
Download or read book Modelling and Computer Methods in Molecular Biology and Genetics written by and published by . This book was released on 1990 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Vadim Aleksandrovich Ratner
Publisher :
ISBN 13 :
Total Pages : 532 pages
Book Rating : 4.:/5 (44 download)
Download or read book Modelling and Computer Methods in Molecular Biology and Genetics written by Vadim Aleksandrovich Ratner and published by . This book was released on 1992 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sarah Barron
Publisher : DIANE Publishing
ISBN 13 : 9780941375917
Total Pages : 120 pages
Book Rating : 4.3/5 (759 download)
Download or read book A Bibliography on Computational Molecular Biology and Genetics written by Sarah Barron and published by DIANE Publishing. This book was released on 1991 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Hamid Bolouri
Publisher : Imperial College Press
ISBN 13 : 1848162200
Total Pages : 341 pages
Book Rating : 4.8/5 (481 download)
Download or read book Computational Modeling of Gene Regulatory Networks written by Hamid Bolouri and published by Imperial College Press. This book was released on 2008 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.
Author : S.L. Salzberg
Publisher : Elsevier
ISBN 13 : 9780080860930
Total Pages : 368 pages
Book Rating : 4.8/5 (69 download)
Download or read book Computational Methods in Molecular Biology written by S.L. Salzberg and published by Elsevier. This book was released on 1998-06-19 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Gabriel Ciobanu
Publisher : Springer Science & Business Media
ISBN 13 : 364218734X
Total Pages : 305 pages
Book Rating : 4.6/5 (421 download)
Download or read book Modelling in Molecular Biology written by Gabriel Ciobanu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents new mathematical and computational models as well as statistical methods for the solution of fundamental problems in the biosciences. Describes how to find regularities among empirical data, as well as conceptual models and theories.
Author : James M. Bower
Publisher : MIT Press
ISBN 13 : 9780262524230
Total Pages : 386 pages
Book Rating : 4.5/5 (242 download)
Download or read book Computational Modeling of Genetic and Biochemical Networks written by James M. Bower and published by MIT Press. This book was released on 2001 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.
Author : Zoya Ignatova
Publisher : Springer Science & Business Media
ISBN 13 : 0387736379
Total Pages : 288 pages
Book Rating : 4.3/5 (877 download)
Download or read book DNA Computing Models written by Zoya Ignatova and published by Springer Science & Business Media. This book was released on 2008-06-11 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book. Being one of the discoverers of DNA, he would be amazed at how his work has been applied to mankind's most important invention, the computer. In this excellent text, the reader is given a comprehensive introduction to the field of DNA computing. The book emphasizes computational methods to tackle central problems of DNA computing, such as controlling living cells, building patterns, and generating nanomachines. It also includes laboratory-scale human-operated models of computation, as well as a description of the first experiment of DNA computation conducted by Adleman in 1994.
Author : Gautam B. Singh
Publisher : Springer
ISBN 13 : 3319114034
Total Pages : 339 pages
Book Rating : 4.3/5 (191 download)
Download or read book Fundamentals of Bioinformatics and Computational Biology written by Gautam B. Singh and published by Springer. This book was released on 2014-09-24 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers comprehensive coverage of all the core topics of bioinformatics, and includes practical examples completed using the MATLAB bioinformatics toolboxTM. It is primarily intended as a textbook for engineering and computer science students attending advanced undergraduate and graduate courses in bioinformatics and computational biology. The book develops bioinformatics concepts from the ground up, starting with an introductory chapter on molecular biology and genetics. This chapter will enable physical science students to fully understand and appreciate the ultimate goals of applying the principles of information technology to challenges in biological data management, sequence analysis, and systems biology. The first part of the book also includes a survey of existing biological databases, tools that have become essential in today’s biotechnology research. The second part of the book covers methodologies for retrieving biological information, including fundamental algorithms for sequence comparison, scoring, and determining evolutionary distance. The main focus of the third part is on modeling biological sequences and patterns as Markov chains. It presents key principles for analyzing and searching for sequences of significant motifs and biomarkers. The last part of the book, dedicated to systems biology, covers phylogenetic analysis and evolutionary tree computations, as well as gene expression analysis with microarrays. In brief, the book offers the ideal hands-on reference guide to the field of bioinformatics and computational biology.
Author : Alan Moses
Publisher : CRC Press
ISBN 13 : 1482258609
Total Pages : 281 pages
Book Rating : 4.4/5 (822 download)
Download or read book Statistical Modeling and Machine Learning for Molecular Biology written by Alan Moses and published by CRC Press. This book was released on 2017-01-06 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: • 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 : Pankaj Barah
Publisher : CRC Press
ISBN 13 : 1000425754
Total Pages : 276 pages
Book Rating : 4.0/5 (4 download)
Download or read book Gene Expression Data Analysis written by Pankaj Barah and published by CRC Press. This book was released on 2021-11-08 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development of high-throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA sequencing are two such widely used high-throughput technologies for simultaneously monitoring the expression patterns of thousands of genes. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data toward the identification of interesting patterns that are relevant for a given biological question requires high-performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge. Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written with a multidisciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning, and statistical perspectives. Readers will be able to acquire both theoretical and practical knowledge of methods for identifying novel patterns of high biological significance. To measure the effectiveness of such algorithms, we discuss statistical and biological performance metrics that can be used in real life or in a simulated environment. This book discusses a large number of benchmark algorithms, tools, systems, and repositories that are commonly used in analyzing gene expression data and validating results. This book will benefit students, researchers, and practitioners in biology, medicine, and computer science by enabling them to acquire in-depth knowledge in statistical and machine-learning-based methods for analyzing gene expression data. Key Features: An introduction to the Central Dogma of molecular biology and information flow in biological systems A systematic overview of the methods for generating gene expression data Background knowledge on statistical modeling and machine learning techniques Detailed methodology of analyzing gene expression data with an example case study Clustering methods for finding co-expression patterns from microarray, bulkRNA, and scRNA data A large number of practical tools, systems, and repositories that are useful for computational biologists to create, analyze, and validate biologically relevant gene expression patterns Suitable for multidisciplinary researchers and practitioners in computer science and the biological sciences
Author : Corrado Priami
Publisher : Springer
ISBN 13 : 3540364811
Total Pages : 214 pages
Book Rating : 4.5/5 (43 download)
Download or read book Computational Methods in Systems Biology written by Corrado Priami and published by Springer. This book was released on 2003-07-01 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshop on Computational Methods in Systems Biology, CMSB 2003, held in Rovereto, Italy, in February 2003. The 11 revised full papers presented together with 2 invited papers, 7 position papers, and 11 abstracts were carefully reviewed and selected from 30 submissions. Among the topics addressed are modeling languages for systems biology, concurrency in biological systems, constraint programming, logical methods in systems biology, formal methods for the analysis of biomolecular systems, quantitative analysis of biomolecular systems, and simulation and modeling techniques for systems biology.
Author : Oleg Demin
Publisher : CRC Press
ISBN 13 : 1420011669
Total Pages : 360 pages
Book Rating : 4.4/5 (2 download)
Download or read book Kinetic Modelling in Systems Biology written by Oleg Demin and published by CRC Press. This book was released on 2008-10-24 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: With more and more interest in how components of biological systems interact, it is important to understand the various aspects of systems biology. Kinetic Modelling in Systems Biology focuses on one of the main pillars in the future development of systems biology. It explores both the methods and applications of kinetic modeling in this emerging f
Author : Semen Grigorʹevich Gindikin
Publisher : American Mathematical Soc.
ISBN 13 : 9780821871157
Total Pages : 156 pages
Book Rating : 4.8/5 (711 download)
Download or read book Mathematical Methods of Analysis of Biopolymer Sequences written by Semen Grigorʹevich Gindikin and published by American Mathematical Soc.. This book was released on with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection contains papers by participants in the seminar on mathematical methods in molecular biology who worked for several years at the Laboratory of Molecular Biology and Bioorganic Chemistry (now the Institute of Physical and Chemical Problems in Biology) at Moscow State University. The seminar united mathematicians and biologists around the problems of biological sequences. The collection includes original results as well as expository material and spans a range of perspectives, from purely mathematical problems to algorithms and their computer realizations. For this reason, the book is of interest to mathematicians, statisticians, biologists, and computational scientists who work with biopolymer sequences.
Author : Seiya Imoto
Publisher : Elsevier Inc. Chapters
ISBN 13 : 0128070072
Total Pages : 548 pages
Book Rating : 4.1/5 (28 download)
Download or read book Computational Systems Biology written by Seiya Imoto and published by Elsevier Inc. Chapters. This book was released on 2013-11-26 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter describes the computational methods for estimating, modeling, and simulating biological systems. It also presents two approaches to understand biological systems and describes a method and a software tool developed by our research group. Bayesian network is a mathematical model for representing causal relationships among random variables by using conditional probabilities. The conditional probabilities describe the parent-child relationships and can be viewed as an extension of the deterministic models like Boolean networks. This model is suited for modeling qualitative relations between genes and allows mathematical and algorithmic analyses. We also devised a method to infer a gene network in terms of a linear system of differential equations from time-course gene expression data. A software tool is developed based on Petri net to modeling and simulation of gene networks. With this software tool, various models have been constructed and its utility has been demonstrated in practice.
Author : Andrzej Polanski
Publisher : Springer Science & Business Media
ISBN 13 : 3540241663
Total Pages : 386 pages
Book Rating : 4.5/5 (42 download)
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.
Author : Luonan Chen
Publisher : John Wiley & Sons
ISBN 13 : 9780470488058
Total Pages : 416 pages
Book Rating : 4.4/5 (88 download)
Download or read book Biomolecular Networks written by Luonan Chen and published by John Wiley & Sons. This book was released on 2009-06-29 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alternative techniques and tools for analyzing biomolecular networks With the recent rapid advances in molecular biology, high-throughput experimental methods have resulted in enormous amounts of data that can be used to study biomolecular networks in living organisms. With this development has come recognition of the fact that a complicated living organism cannot be fully understood by merely analyzing individual components. Rather, it is the interactions of components or biomolecular networks that are ultimately responsible for an organism's form and function. This book addresses the important need for a new set of computational tools to reveal essential biological mechanisms from a systems biology approach. Readers will get comprehensive coverage of analyzing biomolecular networks in cellular systems based on available experimental data with an emphasis on the aspects of network, system, integration, and engineering. Each topic is treated in depth with specific biological problems and novel computational methods: GENE NETWORKS—Transcriptional regulation; reconstruction of gene regulatory networks; and inference of transcriptional regulatory networks PROTEIN INTERACTION NETWORKS—Prediction of protein-protein interactions; topological structure of biomolecular networks; alignment of biomolecular networks; and network-based prediction of protein function METABOLIC NETWORKS AND SIGNALING NETWORKS—Analysis, reconstruction, and applications of metabolic networks; modeling and inference of signaling networks; and other topics and new trends In addition to theoretical results and methods, many computational software tools are referenced and available from the authors' Web sites. Biomolecular Networks is an indispensable reference for researchers and graduate students in bioinformatics, computational biology, systems biology, computer science, and applied mathematics.
