Computational Methods for 3D Genome Analysis
Author: Ryuichiro Nakato
Publisher: Springer Nature
Published:
Total Pages: 455
ISBN-13: 1071641360
DOWNLOAD EBOOKRead and Download eBook Full
Author: Ryuichiro Nakato
Publisher: Springer Nature
Published:
Total Pages: 455
ISBN-13: 1071641360
DOWNLOAD EBOOKAuthor: Silvio Bicciato
Publisher: Humana
Published: 2022-09-04
Total Pages: 0
ISBN-13: 9781071613924
DOWNLOAD EBOOKThis 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.
Author: Shili Lin
Publisher: CRC Press
Published: 2022-09-16
Total Pages: 335
ISBN-13: 1351649760
DOWNLOAD EBOOKThe past three decades have witnessed an explosion of what is now referred to as high-dimensional `omics' data. Bioinformatics Methods: From Omics to Next Generation Sequencing describes the statistical methods and analytic frameworks that are best equipped to interpret these complex data and how they apply to health-related research. Covering the technologies that generate data, subtleties of various data types, and statistical underpinnings of methods, this book identifies a suite of potential analytic tools, and highlights commonalities among statistical methods that have been developed. An ideal reference for biostatisticians and data analysts that work in collaboration with scientists and clinical investigators looking to ensure rigorous application of available methodologies. Key Features: Survey of a variety of omics data types and their unique features Summary of statistical underpinnings for widely used omics data analysis methods Description of software resources for performing omics data analyses
Author: Francisco A. Gómez Vela
Publisher: MDPI
Published: 2021-02-05
Total Pages: 222
ISBN-13: 3039437712
DOWNLOAD EBOOKIn recent decades, new technologies have made remarkable progress in helping to understand biological systems. Rapid advances in genomic profiling techniques such as microarrays or high-performance sequencing have brought new opportunities and challenges in the fields of computational biology and bioinformatics. Such genetic sequencing techniques allow large amounts of data to be produced, whose analysis and cross-integration could provide a complete view of organisms. As a result, it is necessary to develop new techniques and algorithms that carry out an analysis of these data with reliability and efficiency. This Special Issue collected the latest advances in the field of computational methods for the analysis of gene expression data, and, in particular, the modeling of biological processes. Here we present eleven works selected to be published in this Special Issue due to their interest, quality, and originality.
Author: G. Tiana
Publisher: CRC Press
Published: 2021-03-31
Total Pages: 370
ISBN-13: 9780367780456
DOWNLOAD EBOOKThis 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
Author:
Publisher: Elsevier
Published: 2018-08-21
Total Pages: 3421
ISBN-13: 0128114320
DOWNLOAD EBOOKEncyclopedia 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
Author:
Publisher: Elsevier
Published: 2013-08-14
Total Pages: 368
ISBN-13: 0124116272
DOWNLOAD EBOOKPublished continuously since 1944, Advances in Protein Chemistry and Structural Biology has been a continuous, essential resource for protein chemists. Covering reviews of methodology and research in all aspects of protein chemistry, including purification/expression, proteomics, modeling and structural determination and design, each volume brings forth new information about protocols and analysis of proteins while presenting the most recent findings from leading experts in a broad range of protein-related topics. - Covers reviews of methodology and research in all aspects of protein chemistry - Brings forth new information about protocols and analysis of proteins while presenting the most recent findings from leading experts in a broad range of protein-related topics
Author: Carsten Carlberg
Publisher: Springer Nature
Published:
Total Pages: 268
ISBN-13: 3031687302
DOWNLOAD EBOOKAuthor: Jeffrey J P Tsai
Publisher: World Scientific
Published: 2017-06-09
Total Pages: 233
ISBN-13: 981320799X
DOWNLOAD EBOOKThis compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms.The salient feature of this book is that it highlights eight types of computational techniques to tackle different biomedical applications. These techniques include unsupervised learning algorithms, principal component analysis, fuzzy integral, graph-based ensemble clustering method, semantic analysis, interolog approach, molecular simulations and enzyme kinetics.The unique volume will be a useful reference material and an inspirational read for advanced undergraduate and graduate students, computer scientists, computational biologists, bioinformatics and biomedical professionals.
Author: Ying Xu
Publisher: Imperial College Press
Published: 2008
Total Pages: 494
ISBN-13: 1860949835
DOWNLOAD EBOOKOver 500 prokaryotic genomes have been sequenced to date, and thousands more have been planned for the next few years. While these genomic sequence data provide unprecedented opportunities for biologists to study the world of prokaryotes, they also raise extremely challenging issues such as how to decode the rich information encoded in these genomes. This comprehensive volume includes a collection of cohesively written chapters on prokaryotic genomes, their organization and evolution, the information they encode, and the computational approaches needed to derive such information. A comparative view of bacterial and archaeal genomes, and how information is encoded differently in them, is also presented. Combining theoretical discussions and computational techniques, the book serves as a valuable introductory textbook for graduate-level microbial genomics and informatics courses.