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:
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:
Download or read book Modelling and Computer Methods in Molecular Biology and Genetics written by Akademii︠a︡ nauk SSSR. Siberian Branch. Institute of Cytology and Genetics and published by . This book was released on 1990 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
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 311 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.
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 345 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.
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.
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.
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 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many more. The book takes a pragmatic approach, focusing on techniques that are based on elegant mathematics yet are the simplest to explain to scientists with little background in computers and statistics.
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 224 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.
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.
Download or read book DNA Computing Models written by Zoya Ignatova and published by Springer. This book was released on 2008-11-01 with total page 0 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.
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 46 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.
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.
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 399 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.
Download or read book Computational Methods in Systems Biology written by Eugenio Cinquemani and published by Springer Nature. This book was released on 2021-09-13 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Computational Methods in Systems Biology, CMSB 2021, held in Bordeaux, France, September 22–24, 2021.*The 13 full papers and 5 tool papers were carefully reviewed and selected from 32 submissions. The topics of interest include biological process modelling; biological system model verification, validation, analysis, and simulation; high-performance computational systems biology; model inference from experimental data; multi-scale modeling and analysis methods; computational approaches for synthetic biology; machine learning and data-driven approaches; microbial ecology modelling and analysis; methods and protocols for populations and their variability; models, applications, and case studies in systems and synthetic biology. The chapters "Microbial Community Decision Making Models in Batch", "Population design for synthetic gene circuits", "BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems" are published open access under a CC BY license (Creative Commons Attribution 4.0 International License). * The conference was held in a hybrid mode due to the COVID-19 pandemic.
Download or read book Comparative Gene Finding written by Marina Axelson-Fisk and published by Springer Science & Business Media. This book was released on 2010-01-30 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comparative genomics is a new and emerging ?eld, and with the explosion of ava- able biological sequences the requests for faster, more ef?cient and more robust algorithms to analyze all this data are immense. This book is meant to serve as a self-contained instruction of the state-of-the-art of computational gene ?nding in general and of comparative approaches in particular. It is meant as an overview of the various methods that have been applied in the ?eld, and a quick introduction into how computational gene ?nders are built in general. A beginner to the ?eld could use this book as a guide through to the main points to think about when constructing a gene ?nder, and the main algorithms that are in use. On the other hand, the more experienced gene ?nder should be able to use this book as a reference to different methods and to the main components incorporated in these methods. I have focused on the main uses of the covered methods and avoided much of the technical details and general extensions of the models. In exchange I have tried to supply references to more detailed accounts of the different research areas touched upon. The book, however, makes no claim on being comprehensive.
