Computational Modeling Of Gene Regulatory Networks

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Computational Modeling Of Gene Regulatory Networks

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Author : Hamid Bolouri
language : en
Publisher: Imperial College Press
Release Date : 2008

Computational Modeling Of Gene Regulatory Networks written by Hamid Bolouri and has been published by Imperial College Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Medical categories.

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.

Probabilistic Boolean Networks

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Author : Ilya Shmulevich
language : en
Publisher: SIAM
Release Date : 2010-01-01

Probabilistic Boolean Networks written by Ilya Shmulevich and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-01-01 with Mathematics categories.

This is the first comprehensive treatment of probabilistic Boolean networks (PBNs), an important model class for studying genetic regulatory networks. This book covers basic model properties, including the relationships between network structure and dynamics, steady-state analysis, and relationships to other model classes." "Researchers in mathematics, computer science, and engineering are exposed to important applications in systems biology and presented with ample opportunities for developing new approaches and methods. The book is also appropriate for advanced undergraduates, graduate students, and scientists working in the fields of computational biology, genomic signal processing, control and systems theory, and computer science.

Computational Modeling In Gene Regulatory Networks And Drug Discovery

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Author : Peng Zhang
language : en
Publisher:
Release Date : 2005

Computational Modeling In Gene Regulatory Networks And Drug Discovery written by Peng Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.

Protein Protein Interactions And Networks

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Author : Anna Panchenko
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-04-06

Protein Protein Interactions And Networks written by Anna Panchenko and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-06 with Science categories.

The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse. This comprehensive book provides a broad, thorough and multidisciplinary coverage of its field. It integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a comprehensive global view of the diverse data on protein-protein interactions and protein interaction networks.

Emerging Research In The Analysis And Modeling Of Gene Regulatory Networks

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Author : Ivanov, Ivan V.
language : en
Publisher: IGI Global
Release Date : 2016-06-06

Emerging Research In The Analysis And Modeling Of Gene Regulatory Networks written by Ivanov, Ivan V. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-06 with Medical categories.

While technological advancements have been critical in allowing researchers to obtain more and better quality data about cellular processes and signals, the design and practical application of computational models of genomic regulation continues to be a challenge. Emerging Research in the Analysis and Modeling of Gene Regulatory Networks presents a compilation of recent and emerging research topics addressing the design and use of technology in the study and simulation of genomic regulation. Exploring both theoretical and practical topics, this publication is an essential reference source for students, professionals, and researchers working in the fields of genomics, molecular biology, bioinformatics, and drug development.

Handbook Of Research On Computational Methodologies In Gene Regulatory Networks

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Author : Das, Sanjoy
language : en
Publisher: IGI Global
Release Date : 2009-10-31

Handbook Of Research On Computational Methodologies In Gene Regulatory Networks written by Das, Sanjoy and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-31 with Computers categories.

"This book focuses on methods widely used in modeling gene networks including structure discovery, learning, and optimization"--Provided by publisher.

Computational Modeling Of Genetic And Biochemical Networks

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Author : James M. Bower
language : en
Publisher: MIT Press
Release Date : 2001

Computational Modeling Of Genetic And Biochemical Networks written by James M. Bower and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.

How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.

Computational Biology And Bioinformatics

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Author : Ka-Chun Wong
language : en
Publisher:
Release Date : 2016

Computational Biology And Bioinformatics written by Ka-Chun Wong and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Science categories.

Chapter 17 - Improved Protein Model Ranking through Topological Assessment -- Back Cover

Biological Network Analysis

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Author : Pietro Hiram Guzzi
language : en
Publisher: Academic Press
Release Date : 2020-05-12

Biological Network Analysis written by Pietro Hiram Guzzi and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-12 with Science categories.

Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource.

Computational Genomics With R

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Author : Altuna Akalin
language : en
Publisher: CRC Press
Release Date : 2020-12-16

Computational Genomics With R written by Altuna Akalin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.

Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.