CELL GEOMETRY.

CELL GEOMETRY. PDF Author: G. V. SHIVASHANKAR
Publisher:
ISBN: 9781138628564
Category :
Languages : en
Pages :

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Book Description

CELL GEOMETRY.

CELL GEOMETRY. PDF Author: G. V. SHIVASHANKAR
Publisher:
ISBN: 9781138628564
Category :
Languages : en
Pages :

Get Book Here

Book Description


Encyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology PDF Author:
Publisher: Elsevier
ISBN: 0128114320
Category : Medical
Languages : en
Pages : 3421

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Book Description
Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Modeling the 3D Conformation of Genomes

Modeling the 3D Conformation of Genomes PDF Author: Guido Tiana
Publisher: CRC Press
ISBN: 1351386999
Category : Science
Languages : en
Pages : 306

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Book Description
This book provides a timely summary of physical modeling approaches applied to biological datasets that describe conformational properties of chromosomes in the cell nucleus. Chapters explain how to convert raw experimental data into 3D conformations, and how to use models to better understand biophysical mechanisms that control chromosome conformation. The coverage ranges from introductory chapters to modeling aspects related to polymer physics, and data-driven models for genomic domains, the entire human genome, epigenome folding, chromosome structure and dynamics, and predicting 3D genome structure.

Ordered Data Analysis, Modeling and Health Research Methods

Ordered Data Analysis, Modeling and Health Research Methods PDF Author: Pankaj Choudhary
Publisher: Springer
ISBN: 3319254332
Category : Mathematics
Languages : en
Pages : 268

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Book Description
This volume presents an eclectic mix of original research articles in areas covering the analysis of ordered data, stochastic modeling and biostatistics. These areas were featured in a conference held at the University of Texas at Dallas from March 7 to 9, 2014 in honor of Professor H. N. Nagaraja’s 60th birthday and his distinguished contributions to statistics. The articles were written by leading experts who were invited to contribute to the volume from among the conference participants. The volume is intended for all researchers with an interest in order statistics, distribution theory, analysis of censored data, stochastic modeling, time series analysis, and statistical methods for the health sciences, including statistical genetics.

Modeling the 3D Conformation of Genomes

Modeling the 3D Conformation of Genomes PDF Author: G. Tiana
Publisher: CRC Press
ISBN: 9780367780456
Category : Genomics
Languages : en
Pages : 370

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Book Description
This book provides a timely summary of physical modeling approaches applied to biological datasets that describe conformational properties of chromosomes in the cell nucleus. The coverage ranges from introductory chapters to modeling aspects related to polymer physics, and data-driven models for genomic domains, and predicting 3D genome structur

Mathematical Models in Biology

Mathematical Models in Biology PDF Author: Valeria Zazzu
Publisher: Springer
ISBN: 3319234978
Category : Mathematics
Languages : en
Pages : 207

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Book Description
This book presents an exciting collection of contributions based on the workshop “Bringing Maths to Life” held October 27-29, 2014 in Naples, Italy. The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection are treated in this Work. Specific topics explored in depth surround the sessions and special invited sessions of the workshop and include genetic variability via differential expression, molecular dynamics and modeling, complex biological systems viewed from quantitative models, and microscopy images processing, to name several. In depth discussions of the mathematical analysis required to extract insights from complex bodies of biological datasets, to aid development in the field novel algorithms, methods and software tools for genetic variability, molecular dynamics, and complex biological systems are presented in this book. Researchers and graduate students in biology, life science, and mathematics/statistics will find the content useful as it addresses existing challenges in identifying the gaps between mathematical modeling and biological research. The shared solutions will aid and promote further collaboration between life sciences and mathematics.

Hi-C Data Analysis

Hi-C Data Analysis PDF Author: Silvio Bicciato
Publisher: Humana
ISBN: 9781071613924
Category : Science
Languages : en
Pages : 0

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Book Description
This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.

Combining Simulations, Theory, and Experiments into Multiscale Models of Biological Events

Combining Simulations, Theory, and Experiments into Multiscale Models of Biological Events PDF Author: Fabio Trovato
Publisher: Frontiers Media SA
ISBN: 2889740250
Category : Science
Languages : en
Pages : 322

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Book Description


Recent Advances in Learning and Control

Recent Advances in Learning and Control PDF Author: Vincent D. Blondel
Publisher: Springer Science & Business Media
ISBN: 1848001541
Category : Technology & Engineering
Languages : en
Pages : 283

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Book Description
This volume is composed of invited papers on learning and control. The contents form the proceedings of a workshop held in January 2008, in Hyderabad that honored the 60th birthday of Doctor Mathukumalli Vidyasagar. The 14 papers, written by international specialists in the field, cover a variety of interests within the broader field of learning and control. The diversity of the research provides a comprehensive overview of a field of great interest to control and system theorists.

Applications of Bioinformatics in Rice Research

Applications of Bioinformatics in Rice Research PDF Author: Manoj Kumar Gupta
Publisher: Springer Nature
ISBN: 9811639973
Category : Science
Languages : en
Pages : 363

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Book Description
This book summarizes the advanced computational methods for mapping high-density linkages and quantitative trait loci in the rice genome. It also discusses the tools for analyzing metabolomics, identifying complex polyploidy genomes, and decoding the extrachromosomal genome in rice. Further, the book highlights the application of CRISPR-Cas technology and methods for understanding the evolutionary development and the de novo evolution of genes in rice. Lastly, it discusses the role of artificial intelligence and machine learning in rice research and computational tools to analyze plant-pathogen co-evolution in rice crops.