Computational Genetics And Genomics

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Computational Genetics and Genomics

Author : Gary Peltz
Publisher : Springer Science & Business Media
Page : 308 pages
File Size : 43,9 Mb
Release : 2007-11-05
Category : Medical
ISBN : 9781592599301

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Computational Genetics and Genomics by Gary Peltz Pdf

Ultimately, the quality of the tools available for genetic analysis and experimental disease models will be assessed on the basis of whether they provide new information that generates novel treatments for human disease. In addition, the time frame in which genetic discoveries impact clinical practice is also an important dimension of how society assesses the results of the significant public financial investment in genetic research. Because of the investment and the increased expectation that new tre- ments will be found for common diseases, allowing decades to pass before basic discoveries are made and translated into new therapies is no longer acceptable. Computational Genetics and Genomics: Tools for Understanding Disease provides an overview and assessment of currently available and developing tools for genetic analysis. It is hoped that these new tools can be used to identify the genetic basis for susceptibility to disease. Although this very broad topic is addressed in many other books and journal articles, Computational Genetics and Genomics: Tools for Understanding Disease focuses on methods used for analyzing mouse genetic models of biomedically - portant traits. This volume aims to demonstrate that commonly used inbred mouse strains can be used to model virtually all human disea- related traits. Importantly, recently developed computational tools will enable the genetic basis for differences in disease-related traits to be rapidly identified using these inbred mouse strains. On average, a decade is required to carry out the development process required to demonstrate that a new disease treatment is beneficial.

Computational Genomics with R

Author : Altuna Akalin
Publisher : CRC Press
Page : 462 pages
File Size : 41,9 Mb
Release : 2020-12-16
Category : Mathematics
ISBN : 9781498781862

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Computational Genomics with R by Altuna Akalin Pdf

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.

Sequence — Evolution — Function

Author : Eugene V. Koonin,Michael Galperin
Publisher : Springer Science & Business Media
Page : 482 pages
File Size : 43,7 Mb
Release : 2013-06-29
Category : Science
ISBN : 9781475737837

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Sequence — Evolution — Function by Eugene V. Koonin,Michael Galperin Pdf

Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.

Meta-analysis and Combining Information in Genetics and Genomics

Author : Rudy Guerra,Darlene R. Goldstein
Publisher : CRC Press
Page : 360 pages
File Size : 47,8 Mb
Release : 2016-04-19
Category : Mathematics
ISBN : 142001062X

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Meta-analysis and Combining Information in Genetics and Genomics by Rudy Guerra,Darlene R. Goldstein Pdf

Novel Techniques for Analyzing and Combining Data from Modern Biological Studies Broadens the Traditional Definition of Meta-Analysis With the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative information combination methods, Meta-analysis and Combining Information in Genetics and Genomics looks at how to analyze multiple studies from a broad perspective. After presenting the basic ideas and tools of meta-analysis, the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments. The expert contributors show how some data combination problems can arise even within the same basic framework and offer solutions to these problems. They also discuss the combined analysis of different data types, giving readers an opportunity to see data combination approaches in action across a wide variety of genome-scale investigations. As heterogeneous data sets become more common, biological understanding will be significantly aided by jointly analyzing such data using fundamentally sound statistical methodology. This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources.

Introduction to Computational Genomics

Author : Nello Cristianini,Matthew W. Hahn
Publisher : Cambridge University Press
Page : 200 pages
File Size : 54,7 Mb
Release : 2006-12-14
Category : Computers
ISBN : 0521856035

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Introduction to Computational Genomics by Nello Cristianini,Matthew W. Hahn Pdf

Where did SARS come from? Have we inherited genes from Neanderthals? How do plants use their internal clock? The genomic revolution in biology enables us to answer such questions. But the revolution would have been impossible without the support of powerful computational and statistical methods that enable us to exploit genomic data. Many universities are introducing courses to train the next generation of bioinformaticians: biologists fluent in mathematics and computer science, and data analysts familiar with biology. This readable and entertaining book, based on successful taught courses, provides a roadmap to navigate entry to this field. It guides the reader through key achievements of bioinformatics, using a hands-on approach. Statistical sequence analysis, sequence alignment, hidden Markov models, gene and motif finding and more, are introduced in a rigorous yet accessible way. A companion website provides the reader with Matlab-related software tools for reproducing the steps demonstrated in the book.

Computational Genome Analysis

Author : Richard C. Deonier,Simon Tavaré,Michael S. Waterman
Publisher : Springer Science & Business Media
Page : 542 pages
File Size : 51,6 Mb
Release : 2005-12-27
Category : Computers
ISBN : 9780387288079

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Computational Genome Analysis by Richard C. Deonier,Simon Tavaré,Michael S. Waterman Pdf

This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.

Computing for Comparative Microbial Genomics

Author : David Wayne Ussery,Trudy M. Wassenaar,Stefano Borini
Publisher : Springer Science & Business Media
Page : 272 pages
File Size : 52,8 Mb
Release : 2009-02-26
Category : Science
ISBN : 9781848002548

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Computing for Comparative Microbial Genomics by David Wayne Ussery,Trudy M. Wassenaar,Stefano Borini Pdf

Overview and Goals This book describes how to visualize and compare bacterial genomes. Sequencing technologies are becoming so inexpensive that soon going for a cup of coffee will be more expensive than sequencing a bacterial genome. Thus, there is a very real and pressing need for high-throughput computational methods to compare hundreds and thousands of bacterial genomes. It is a long road from molecular biology to systems biology, and in a sense this text can be thought of as a path bridging these ? elds. The goal of this book is to p- vide a coherent set of tools and a methodological framework for starting with raw DNA sequences and producing fully annotated genome sequences, and then using these to build up and test models about groups of interacting organisms within an environment or ecological niche. Organization and Features The text is divided into four main parts: Introduction, Comparative Genomics, Transcriptomics and Proteomics, and ? nally Microbial Communities. The ? rst ? ve chapters are introductions of various sorts. Each of these chapters represents an introduction to a speci? c scienti? c ? eld, to bring all readers up to the same basic level before proceeding on to the methods of comparing genomes. First, a brief overview of molecular biology and of the concept of sequences as biological inf- mation are given.

Computational Genomics

Author : Richard P. Grant
Publisher : Taylor & Francis
Page : 305 pages
File Size : 55,6 Mb
Release : 2004
Category : Science
ISBN : 1904933017

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Computational Genomics by Richard P. Grant Pdf

"Suitable for bioscientists who are just getting to grips with computational biology the book also offers enough detail to act as a guide for experienced bioinformaticians at the cutting edge of the technology. The book is also useful as a teaching reference."--BOOK JACKET.

Computational Biology and Genome Informatics

Author : Jason T. L. Wang,Cathy H. Wu,Paul P. Wang
Publisher : World Scientific
Page : 266 pages
File Size : 55,9 Mb
Release : 2003
Category : Science
ISBN : 9789812564498

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Computational Biology and Genome Informatics by Jason T. L. Wang,Cathy H. Wu,Paul P. Wang Pdf

This book contains articles written by experts on a wide range oftopics that are associated with the analysis and management ofbiological information at the molecular level. It contains chapters onRNA and protein structure analysis, DNA computing, sequence mapping, genome comparison, gene expression data mining, metabolic networkmodeling, and phyloinformatics

Applied Computational Genomics

Author : Yin Yao Shugart
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 55,8 Mb
Release : 2012-12-30
Category : Medical
ISBN : 9789400755581

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Applied Computational Genomics by Yin Yao Shugart Pdf

"Applied Computational Genomics" focuses on an in-depth review of statistical development and application in the area of human genomics including candidate gene mapping, linkage analysis, population-based, genome-wide association, exon sequencing and whole genome sequencing analysis. The authors are extremely experienced in the area of statistical genomics and will give a detailed introduction of the evolution in the field and critical evaluations of the advantages and disadvantages of the statistical models proposed. They will also share their views on a future shift toward translational biology. The book will be of value to human geneticists, medical doctors, health educators, policy makers, and graduate students majoring in biology, biostatistics, and bioinformatics. Dr. Yin Yao Shugart is investigator in the Intramural Research Program at the National Institute of Mental Health, Bethesda, Maryland USA. ​

Introduction to Evolutionary Genomics

Author : Naruya Saitou
Publisher : Springer Science & Business Media
Page : 461 pages
File Size : 46,5 Mb
Release : 2014-01-22
Category : Computers
ISBN : 9781447153047

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Introduction to Evolutionary Genomics by Naruya Saitou Pdf

This book is the first of its kind to explain the fundamentals of evolutionary genomics. The comprehensive coverage includes concise descriptions of a variety of genome organizations, a thorough discussion of the methods used, and a detailed review of genome sequence processing procedures. The opening chapters also provide the necessary basics for readers unfamiliar with evolutionary studies. Features: introduces the basics of molecular biology, DNA replication, mutation, phylogeny, neutral evolution, and natural selection; presents a brief evolutionary history of life from the primordial seas to the emergence of humans; describes the genomes of prokaryotes, eukaryotes, vertebrates, and humans; reviews methods for genome sequencing, phenotype data collection, homology searches and analysis, and phylogenetic tree and network building; discusses databases of genome sequences and related information, evolutionary distances, and population genomics; provides supplementary material at an associated website.

Computational Exome and Genome Analysis

Author : Peter N. Robinson,Rosario Michael Piro,Marten Jager
Publisher : CRC Press
Page : 557 pages
File Size : 41,7 Mb
Release : 2017-09-13
Category : Computers
ISBN : 9781498775991

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Computational Exome and Genome Analysis by Peter N. Robinson,Rosario Michael Piro,Marten Jager Pdf

Exome and genome sequencing are revolutionizing medical research and diagnostics, but the computational analysis of the data has become an extremely heterogeneous and often challenging area of bioinformatics. Computational Exome and Genome Analysis provides a practical introduction to all of the major areas in the field, enabling readers to develop a comprehensive understanding of the sequencing process and the entire computational analysis pipeline.

Bioinformatics and Human Genomics Research

Author : Diego A. Forero
Publisher : CRC Press
Page : 509 pages
File Size : 43,5 Mb
Release : 2021-12-23
Category : Science
ISBN : 9781000405682

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Bioinformatics and Human Genomics Research by Diego A. Forero Pdf

Advances in high-throughput biological methods have led to the publication of a large number of genome-wide studies in human and animal models. In this context, recent tools from bioinformatics and computational biology have been fundamental for the analysis of these genomic studies. The book Bioinformatics and Human Genomics Research provides updated and comprehensive information about multiple approaches of the application of bioinformatic tools to research in human genomics. It covers strategies analysis of genome-wide association studies, genome-wide expression studies and genome-wide DNA methylation, among other topics. It provides interesting strategies for data mining in human genomics, network analysis, prediction of binding sites for miRNAs and transcription factors, among other themes. Experts from all around the world in bioinformatics and human genomics have contributed chapters in this book. Readers will find this book as quite useful for their in silico explorations, which would contribute to a better and deeper understanding of multiple biological processes and of pathophysiology of many human diseases.

Computational Text Analysis

Author : Soumya Raychaudhuri
Publisher : Oxford University Press on Demand
Page : 325 pages
File Size : 53,5 Mb
Release : 2006-01-26
Category : Computers
ISBN : 9780198567400

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Computational Text Analysis by Soumya Raychaudhuri Pdf

This book brings together the two disparate worlds of computational text analysis and biology and presents some of the latest methods and applications to proteomics, sequence analysis and gene expression data. Modern genomics generates large and comprehensive data sets but their interpretation requires an understanding of a vast number of genes, their complex functions, and interactions. Keeping up with the literature on a single gene is a challenge itself-for thousands of genes it is simply impossible. Here, Soumya Raychaudhuri presents the techniques and algorithms needed to access and utilize the vast scientific text, i.e. methods that automatically "read" the literature on all the genes. Including background chapters on the necessary biology, statistics and genomics, in addition to practical examples of interpreting many different types of modern experiments, this book is ideal for students and researchers in computational biology, bioinformatics, genomics, statistics and computer science.

Impact of Advances in Computing and Communications Technologies on Chemical Science and Technology

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Chemical Sciences Roundtable
Publisher : National Academies Press
Page : 235 pages
File Size : 51,7 Mb
Release : 1999-10-01
Category : Mathematics
ISBN : 9780309065771

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Impact of Advances in Computing and Communications Technologies on Chemical Science and Technology by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Chemical Sciences Roundtable Pdf

The Chemical Sciences Roundtable provides a forum for discussing chemically related issues affecting government, industry and government. The goal is to strengthen the chemical sciences by foster communication among all the important stakeholders. At a recent Roundtable meeting, information technology was identified as an issue of increasing importance to all sectors of the chemical enterprise. This book is the result of a workshop convened to explore this topic.