Network Based Molecular Biology PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Network Based Molecular Biology PDF full book. Access full book title Network Based Molecular Biology.

Network Biology

Network Biology
Author: Gerard Cagney
Publisher: Humana Press
Total Pages: 0
Release: 2011-09-28
Genre: Science
ISBN: 9781617792755

Download Network Biology Book in PDF, ePub and Kindle

While extremely large datasets describing gene sequences, mRNA transcripts, protein abundance, and metabolite concentrations are increasingly commonplace, these represent only starting ‘parts lists’ that are usually insufficient to unlock mechanistic insights on their own right. Fortunately, as Network Biology: Methods and Applications examines, concepts emerging from the study of biological entities such as networks (e.g. functional interactions linking genes, proteins, metabolites, etc.) suggest that order rather than chaos prevails, with such principles as modular and hierarchical organization, reactive information-driven causal-response behaviours, systems robustness, co-evolution, and self-organization guiding the way. This volume presents detailed, practical descriptions of the experimental and computational approaches currently prevalent in network biology as written by practiced experts in the field. Written in the highly successful Methods in Molecular BiologyTM series format, relevant chapters contain introductions to their respective topics, lists of the necessary materials, step-by-step, readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and accessible, Network Biology: Methods and Applications provides an ensemble of procedures that will be of great value to a broad assortment of readers, ranging from graduate students to seasoned professionals looking to polish their skill sets.


Network-based Molecular Biology

Network-based Molecular Biology
Author: Zoran Nikoloski
Publisher:
Total Pages:
Release: 2013
Genre: Molecular biology
ISBN: 9783110262568

Download Network-based Molecular Biology Book in PDF, ePub and Kindle


Bacterial Molecular Networks

Bacterial Molecular Networks
Author: Denis Thieffry
Publisher: Humana Press
Total Pages: 560
Release: 2016-05-01
Genre: Science
ISBN: 9781493961566

Download Bacterial Molecular Networks Book in PDF, ePub and Kindle

Bacterial Molecular Networks provides authoritative descriptions of various experimental and computational methods that enable the characterization and analysis of molecular interaction networks.


The Internet for Molecular Biologists

The Internet for Molecular Biologists
Author: Clare E. Sansom
Publisher: Oxford University Press
Total Pages: 280
Release: 2004-01-29
Genre: Computers
ISBN: 9780199638888

Download The Internet for Molecular Biologists Book in PDF, ePub and Kindle

This resource aims to help the practitioners of the "new biology" revolution, the molecular biologists who are more at home at a laboratory bench than in front of a computer keyboard, to use the Internet more effectively. It provides a broad introductionto using Internet based computing resources to support research in molecular biology.


Molecular Biology of The Cell

Molecular Biology of The Cell
Author: Bruce Alberts
Publisher:
Total Pages: 0
Release: 2002
Genre: Cytology
ISBN: 9780815332183

Download Molecular Biology of The Cell Book in PDF, ePub and Kindle


Biomolecular Networks

Biomolecular Networks
Author: Luonan Chen
Publisher: John Wiley & Sons
Total Pages: 416
Release: 2009-06-29
Genre: Computers
ISBN: 9780470488058

Download Biomolecular Networks Book in PDF, ePub and Kindle

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.


Introduction to Biological Networks

Introduction to Biological Networks
Author: Alpan Raval
Publisher: CRC Press
Total Pages: 338
Release: 2013-04-24
Genre: Mathematics
ISBN: 1584884630

Download Introduction to Biological Networks Book in PDF, ePub and Kindle

The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network biology for physical scientists and biologists involved in interdisciplinary research. The book focuses on the concept of molecular and genetic interaction networks as a paradigm for interpreting the complexity of molecular biology at a genomic scale. The authors describe the experimental methods used to discover and test networks of interaction among biological molecules. They also present computational methods for predicting the interaction networks, discuss general mechanisms of network formation and evolution, and explore the application of network approaches to important problems in biology and medicine. With many examples throughout and clear explanations of key concepts, this book is the first to offer a broad treatment of genomics-inspired network biology with sufficient mathematical and biological rigor. It gives readers a conceptual understanding of this burgeoning scientific field.


Network Medicine

Network Medicine
Author: Joseph Loscalzo
Publisher: Harvard University Press
Total Pages: 449
Release: 2017-02-01
Genre: Medical
ISBN: 0674436539

Download Network Medicine Book in PDF, ePub and Kindle

Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.


Bacterial Molecular Networks

Bacterial Molecular Networks
Author: Jacques van Helden
Publisher: Humana Press
Total Pages: 546
Release: 2011-12-08
Genre: Science
ISBN: 9781617793608

Download Bacterial Molecular Networks Book in PDF, ePub and Kindle

Network-based representations have become pervasive in most fields in biology. Bacterial Molecular Networks: Methods and Protocols provides authoritative descriptions of various experimental and computational methods enabling the characterization and analysis of molecular interaction networks, with a focus on bacteria. Divided into three convenient sections, this volume provides extensive coverage of various experimental and in silico approaches aiming at the characterization of network components, addresses the presentation of computational approaches to analyze the topology of molecular networks, and further introduces a variety of methods and tools enabling scientists to generate qualitative or quantitative dynamical models of molecular processes in bacteria. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Bacterial Molecular Networks: Methods and Protocols is intended primarily for post-graduate students and researchers working in the field of experimental and computational microbiology and provides a combination of up-to-date reviews along with detailed protocols written by the developers of bioinformatics resources, such as databases and software tools.


Network Inference in Molecular Biology

Network Inference in Molecular Biology
Author: Jesse M. Lingeman
Publisher: Springer Science & Business Media
Total Pages: 106
Release: 2012-05-24
Genre: Computers
ISBN: 1461431131

Download Network Inference in Molecular Biology Book in PDF, ePub and Kindle

Inferring gene regulatory networks is a difficult problem to solve due to the relative scarcity of data compared to the potential size of the networks. While researchers have developed techniques to find some of the underlying network structure, there is still no one-size-fits-all algorithm for every data set. Network Inference in Molecular Biology examines the current techniques used by researchers, and provides key insights into which algorithms best fit a collection of data. Through a series of in-depth examples, the book also outlines how to mix-and-match algorithms, in order to create one tailored to a specific data situation. Network Inference in Molecular Biology is intended for advanced-level students and researchers as a reference guide. Practitioners and professionals working in a related field will also find this book valuable.