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 Computers categories.
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.
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.
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.
Methods In Computational Genomics
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Author : Nathan Olson
language : en
Publisher: Frontiers Media SA
Release Date : 2024-02-06
Methods In Computational Genomics written by Nathan Olson and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Science 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 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.
Bioinformatics Supercomputing And Complex Genome Analysis Proceedings Of The 2nd International Conference
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Author : Hwa A Lim
language : en
Publisher: World Scientific
Release Date : 1993-09-07
Bioinformatics Supercomputing And Complex Genome Analysis Proceedings Of The 2nd International Conference written by Hwa A Lim and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-09-07 with categories.
Since the beginning of the genome project, the necessary involvement of scientists of widely divergent backgrounds has been evident. The proper handling, analysis, dissemination of information, and the control and data gathering of automated process are areas where computers are directly involved. Thus computers are intimately tied into the production and analysis of biological data. However, many challenges lie ahead.This volume is a collection of selected oral and poster presentations given at The Second International Conference on Bioinformatics, Supercomputing and Complex Genome Analysis, organized to address some of these challenges. The topics include the current status and future prospects of genome map, mapping and sequencing, complex genome analysis,linguistic and neural network approaches, database issues, and computer tools in the genome project. The volume will be ideal for students, newcomers, young researchers and experts alike, who are computationally or experimentally oriented.Keynote Speakers: C L Smith, D Grothues, T Ito, T Sano, D Wang, Y-W Zhu, C R Canton & R J Rohins.