Computational Genome Analysis
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Computational Genome Analysis
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Author : Richard C. Deonier
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-27
Computational Genome Analysis written by Richard C. Deonier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-27 with Science categories.
Computational Genome Analysis: An Introduction 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 is appropriate for a one-semester course for advanced undergraduate or beginning graduate students, and it can also introduce computational biology to computer scientists, mathematicians, or biologists who are extending their interests into this exciting field. This book features: - Topics organized around biological problems, such as sequence alignment and assembly, DNA signals, analysis of gene expression, and human genetic variation - Presentation of fundamentals of probability, statistics, and algorithms - Implementation of computational methods with numerous examples based upon the R statistics package - Extensive descriptions and explanations to complement the analytical development - More than 100 illustrations and diagrams (some in color) to reinforce concepts and present key results from the primary literature - Exercises at the end of chapters From the reviews: "The book is useful for its breadth. An impressive variety of topics are surveyed...." Short Book Reviews of the ISI, June 2006 "It is a very good book indeed and I would strongly recommend it both to the student hoping to take this study further and to the general reader who wants to know what computational genome analysis is all about." Mark Bloom for the JRSS, Series A, Volume 169, p. 1006, October 2006 "Richard C. Deonier, Simon Tavare and Michael S. Waterman provide us wtih a 'roll up your sleeves and get dirty' (as the authors phrase it in their preface) introduction to the field of computational genome analysis...The book is carefully written and carefully edited..." Ralf Schmid for Genetic Research, Volume 87, p. 218, 2006
Computational Genome Analysis An Introduction
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Author : Deonier
language : en
Publisher:
Release Date : 2007-10-01
Computational Genome Analysis An Introduction written by Deonier and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-01 with categories.
Computational Genomics With R
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Author : Altuna Akalin
language : en
Publisher: CRC Press
Release Date : 2020-12-16
Computational Genomics With R written by Altuna Akalin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.
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.
Computational Exome And Genome Analysis
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Author : Peter N. Robinson
language : en
Publisher: CRC Press
Release Date : 2017-09-13
Computational Exome And Genome Analysis written by Peter N. Robinson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-13 with Computers categories.
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.
Methods Of Computational Genome Analysis
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Author :
language : en
Publisher:
Release Date : 2017
Methods Of Computational Genome Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Principles Of Computational Biology And Genome Analysis
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Author : Daniel McGuire
language : en
Publisher:
Release Date : 2017-06-21
Principles Of Computational Biology And Genome Analysis written by Daniel McGuire and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-21 with Computers categories.
Genome analysis has changed the way biological and anthropological evolution has been perceived. Computational analysis of genetic data has made it possible for the creation of speculative models that can predict possible evolutionary patterns while taking into account natural biological phenomena such as aging, disease and degeneration of the body. This book on computational biology and genome analysis contributes to the fields of computational neuroscience and computational evolutionary biology. The various studies that are constantly contributing towards advancing technologies and evolution of this field are examined in detail in this text. It elucidates new techniques and their applications in a multidisciplinary approach. This book is a vital tool for all researching or studying computational biology and genome analysis as it gives incredible insights into emerging trends and concepts.
Computational Exome And Genome Analysis
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Author : Peter Nicholas Robinson
language : en
Publisher:
Release Date : 2018
Computational Exome And Genome Analysis written by Peter Nicholas Robinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computational biology categories.
Computational Genome Analysis By Alignment
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Author : Yi Yang
language : en
Publisher:
Release Date : 2005
Computational Genome Analysis By Alignment written by Yi Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Applied Computational Genomics
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Author : Yin Yao
language : en
Publisher: Springer
Release Date : 2018-09-03
Applied Computational Genomics written by Yin Yao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Medical categories.
The volume provides a 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 field of statistical genomics and will give a detailed introduction to the evolution of the field, as well as critical comments on the advantages and disadvantages of the proposed statistical models. The future directions of translational biology will also be described.
Computational Genome Analysis
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Author : Ting Chen
language : en
Publisher:
Release Date : 1997
Computational Genome Analysis written by Ting Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Evolutionary programming (Computer science) categories.