Genome Analysis
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Genome Data Analysis
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Author : Ju Han Kim
language : en
Publisher: Springer
Release Date : 2019-04-30
Genome Data Analysis written by Ju Han Kim and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Science categories.
This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.
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 Genome Analysis
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Author : Richard C. Deonier
language : en
Publisher: Springer
Release Date : 2010-12-08
Computational Genome Analysis written by Richard C. Deonier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-08 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.
Genome Analysis And Human Health
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Author : Leena Rawal
language : en
Publisher: Springer
Release Date : 2017-06-08
Genome Analysis And Human Health written by Leena Rawal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-08 with Medical categories.
This book highlights selected current data and its relevance in the human health care system, offering a fundamental primer on genetics and human health. With the advent of new high-throughput technologies (for the whole genome including exome sequencing), the conventional focus on genetics and individual genes is now shifting toward the analysis of complex genes, gene-gene interactions and the association between genes and environment, including epigenetics. The rapidly changing scientific research landscape, with the ever-growing influx of data on one hand and emergence of newer and more complicated diseases on the other, has created a dilemma for researchers and caregivers, who are still hopeful that advances in genetics and genomics will provide avenues for the understanding, prevention and possible cure of human diseases. The book focuses on the interactions between genes and proteins at both the transcriptome and proteome levels, which in turn affect the human genome and health. Additionally, it covers the domain that must be explored in order to understand the gene-gene and protein-protein interactions that contribute to human health. The book offers a valuable guide for all students and researchers working in the area of molecular genetics and genomics.
Bioinformatics
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Author : David W. Mount
language : en
Publisher: CSHL Press
Release Date : 2004
Bioinformatics written by David W. Mount and has been published by CSHL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Science categories.
As more species' genomes are sequenced, computational analysis of these data has become increasingly important. The second, entirely updated edition of this widely praised textbook provides a comprehensive and critical examination of the computational methods needed for analyzing DNA, RNA, and protein data, as well as genomes. The book has been rewritten to make it more accessible to a wider audience, including advanced undergraduate and graduate students. New features include chapter guides and explanatory information panels and glossary terms. New chapters in this second edition cover statistical analysis of sequence alignments, computer programming for bioinformatics, and data management and mining. Practically oriented problems at the ends of chapters enhance the value of the book as a teaching resource. The book also serves as an essential reference for professionals in molecular biology, pharmaceutical, and genome laboratories.
Two Dimensional Dna Typing
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Author : Andre G Uitterlinden
language : en
Publisher: CRC Press
Release Date : 1994-03-31
Two Dimensional Dna Typing written by Andre G Uitterlinden and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-03-31 with Science categories.
New technology for analyzing complex genomes is an important area of modern molecular biosciences. This book focuses on a recently developed genome scanning method, termed two-dimensional 2-D DNA typing, which is based on a combination of two independent electrophoretic separation principles. When separation according to size is coupled to separation according to base-pair composition, complex genomes can be resolved in a number of DNA fragments. These fragments or subsets can be visualized, for example, by hybridization analysis with specific probes. Genome scanning by 2-D DNA typing finds applications in many areas, such as linkage and association studies for identifying genetic traits in humans, animals and plants, studies on genetic instabilities in cancers, classification studies in bacteria and other lower organisms, studies on human mutation rates, and the identification of mutations in large genes.
Principles Of Genome Analysis And Genomics
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Author : Sandy B. Primrose
language : en
Publisher: Wiley-Blackwell
Release Date : 2002-12-30
Principles Of Genome Analysis And Genomics written by Sandy B. Primrose and has been published by Wiley-Blackwell this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-12-30 with Science categories.
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.
Mathematics Of Genome Analysis
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Author : Jerome K. Percus
language : en
Publisher: Cambridge University Press
Release Date : 2002
Mathematics Of Genome Analysis written by Jerome K. Percus and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Mathematics categories.
The massive research effort known as the Human Genome Project is an attempt to record the sequence of the three trillion nucleotides that make up the human genome and to identify individual genes within this sequence. While the basic effort is of course a biological one, the description and classification of sequences also lend themselves naturally to mathematical and statistical modeling. This short textbook on the mathematics of genome analysis presents a brief description of several ways in which mathematics and statistics are being used in genome analysis and sequencing. It will be of interest not only to students but also to professional mathematicians curious about the subject.
Human Genome Analysis Programme
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Author : Manuel Hallen
language : en
Publisher: IOS Press
Release Date : 1995
Human Genome Analysis Programme written by Manuel Hallen and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Medical categories.
The first Human Genome Analysis Programme (HGAP) was launched for the years 1990-1992. The aim of this programme has been to ensure a significant European contribution to the worldwide effort to map the human genome and, in the long term, to set a basis for support of European research activities in future wide-ranging medical applications.