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Haplotyping

Haplotyping
Author: Brock A. Peters
Publisher: Springer Nature
Total Pages: 304
Release: 2022-11-06
Genre: Science
ISBN: 1071628194

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This book aims to be an introduction to haplotype information for both the wet and dry labs. Chapters detail co-barcoding and linked-reads based methods, third generation sequencing based methods, Hi-C based methods, single-cell and Strand-seq, and methods for using haplotype data once obtained. Written in the 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 protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Haplotyping: Methods and Protocols aims to provide compréhensive and accessible methods to undergraduate, graduate, and established scientists.


Handbook of Statistical Genomics

Handbook of Statistical Genomics
Author: David J. Balding
Publisher: John Wiley & Sons
Total Pages: 1828
Release: 2019-07-09
Genre: Science
ISBN: 1119429250

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A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.


Integer Linear Programming in Computational and Systems Biology

Integer Linear Programming in Computational and Systems Biology
Author: Dan Gusfield
Publisher: Cambridge University Press
Total Pages: 431
Release: 2019-06-13
Genre: Computers
ISBN: 1108421768

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This hands-on tutorial text for non-experts demonstrates biological applications of a versatile modeling and optimization technique.


Genome-Scale Algorithm Design

Genome-Scale Algorithm Design
Author: Veli Mäkinen
Publisher: Cambridge University Press
Total Pages: 470
Release: 2023-10-12
Genre: Computers
ISBN: 1009341219

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Guided by standard bioscience workflows in high-throughput sequencing analysis, this book for graduate students, researchers, and professionals in bioinformatics and computer science offers a unified presentation of genome-scale algorithms. This new edition covers the use of minimizers and other advanced data structures in pangenomics approaches.


Next-Generation Genome Sequencing

Next-Generation Genome Sequencing
Author: Michal Janitz
Publisher: John Wiley & Sons
Total Pages: 281
Release: 2011-08-24
Genre: Science
ISBN: 3527644733

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Written by leading experts from industry and academia, this first single comprehensive resource addresses recent developments in next generation DNA sequencing technology and their impact on genome research, drug discovery and health care. As such, it presents a detailed comparative analysis of commercially available platforms as well as insights into alternative, emerging sequencing techniques. In addition, the book not only covers the principles of DNA sequencing techniques but also social, ethical and commercial aspects, the concept of personalized medicine and a five-year perspective of DNA sequencing.


ReCombinatorics

ReCombinatorics
Author: Dan Gusfield
Publisher: MIT Press
Total Pages: 601
Release: 2014-07-03
Genre: Mathematics
ISBN: 0262027526

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When a Philadelphia girl intercepts a message about an impending British attack against her father's regiment, commanded by General Washington, in White Marsh, she travels alone by horseback to warn the Patriot army.


Algorithmic Aspects of Bioinformatics

Algorithmic Aspects of Bioinformatics
Author: Hans-Joachim Böckenhauer
Publisher: Springer Science & Business Media
Total Pages: 395
Release: 2007-06-06
Genre: Science
ISBN: 354071913X

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This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. Figures, chapter summaries, detailed derivations, and examples, are provided.


Genetic Analysis of Complex Disease

Genetic Analysis of Complex Disease
Author: William K. Scott
Publisher: John Wiley & Sons
Total Pages: 340
Release: 2021-12-06
Genre: Science
ISBN: 1118123913

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Genetic Analysis of Complex Diseases An up-to-date and complete treatment of the strategies, designs and analysis methods for studying complex genetic disease in human beings In the newly revised Third Edition of Genetic Analysis of Complex Diseases, a team of distinguished geneticists delivers a comprehensive introduction to the most relevant strategies, designs and methods of analysis for the study of complex genetic disease in humans. The book focuses on concepts and designs, thereby offering readers a broad understanding of common problems and solutions in the field based on successful applications in the design and execution of genetic studies. This edited volume contains contributions from some of the leading voices in the area and presents new chapters on high-throughput genomic sequencing, copy-number variant analysis and epigenetic studies. Providing clear and easily referenced overviews of the considerations involved in genetic analysis of complex human genetic disease, including sampling, design, data collection, linkage and association studies and social, legal and ethical issues. Genetic Analysis of Complex Diseases also provides: A thorough introduction to study design for the identification of genes in complex traits Comprehensive explorations of basic concepts in genetics, disease phenotype definition and the determination of the genetic components of disease Practical discussions of modern bioinformatics tools for analysis of genetic data Reflecting on responsible conduct of research in genetic studies, as well as linkage analysis and data management New expanded chapter on complex genetic interactions This latest edition of Genetic Analysis of Complex Diseases is a must-read resource for molecular biologists, human geneticists, genetic epidemiologists and pharmaceutical researchers. It is also invaluable for graduate students taking courses in statistical genetics or genetic epidemiology.


Human Population Genetics and Genomics

Human Population Genetics and Genomics
Author: Alan R. Templeton
Publisher: Academic Press
Total Pages: 498
Release: 2018-11-08
Genre: Science
ISBN: 0123860261

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Human Population Genetics and Genomics provides researchers/students with knowledge on population genetics and relevant statistical approaches to help them become more effective users of modern genetic, genomic and statistical tools. In-depth chapters offer thorough discussions of systems of mating, genetic drift, gene flow and subdivided populations, human population history, genotype and phenotype, detecting selection, units and targets of natural selection, adaptation to temporally and spatially variable environments, selection in age-structured populations, and genomics and society. As human genetics and genomics research often employs tools and approaches derived from population genetics, this book helps users understand the basic principles of these tools. In addition, studies often employ statistical approaches and analysis, so an understanding of basic statistical theory is also needed. Comprehensively explains the use of population genetics and genomics in medical applications and research Discusses the relevance of population genetics and genomics to major social issues, including race and the dangers of modern eugenics proposals Provides an overview of how population genetics and genomics helps us understand where we came from as a species and how we evolved into who we are now


Pattern Recognition in Computational Molecular Biology

Pattern Recognition in Computational Molecular Biology
Author: Mourad Elloumi
Publisher: John Wiley & Sons
Total Pages: 655
Release: 2015-11-30
Genre: Technology & Engineering
ISBN: 1119078857

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A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book surveys the developments of techniques and approaches on pattern recognition related to Computational Molecular Biology. Providing a broad coverage of the field, the authors cover fundamental and technical information on these techniques and approaches, as well as discussing their related problems. The text consists of twenty nine chapters, organized into seven parts: Pattern Recognition in Sequences, Pattern Recognition in Secondary Structures, Pattern Recognition in Tertiary Structures, Pattern Recognition in Quaternary Structures, Pattern Recognition in Microarrays, Pattern Recognition in Phylogenetic Trees, and Pattern Recognition in Biological Networks. Surveys the development of techniques and approaches on pattern recognition in biomolecular data Discusses pattern recognition in primary, secondary, tertiary and quaternary structures, as well as microarrays, phylogenetic trees and biological networks Includes case studies and examples to further illustrate the concepts discussed in the book Pattern Recognition in Computational Molecular Biology: Techniques and Approaches is a reference for practitioners and professional researches in Computer Science, Life Science, and Mathematics. This book also serves as a supplementary reading for graduate students and young researches interested in Computational Molecular Biology.