Computational Exome And Genome Analysis

Author : Peter N. Robinson
Publisher : CRC Press
ISBN 13 : 1498775993
Total Pages : 575 pages
Book Rating : 4.91/5 ( download)

DOWNLOAD NOW!

Download or read book Computational Exome and Genome Analysis written by Peter N. Robinson and published by CRC Press. This book was released on 2017-09-13 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Peter Nicholas Robinson
Publisher :
ISBN 13 : 9781351641302
Total Pages : 552 pages
Book Rating : 4.01/5 ( download)

DOWNLOAD NOW!

Download or read book Computational Exome and Genome Analysis written by Peter Nicholas Robinson and published by . This book was released on 2018 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Altuna Akalin
Publisher : CRC Press
ISBN 13 : 1498781861
Total Pages : 462 pages
Book Rating : 4.62/5 ( download)

DOWNLOAD NOW!

Download or read book Computational Genomics with R written by Altuna Akalin and published by CRC Press. This book was released on 2020-12-16 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Shrey Gandhi
Publisher : Research in Genomics
ISBN 13 :
Total Pages : pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Download or read book The Hitchhiker's Guide to Whole Exome Analysis written by Shrey Gandhi and published by Research in Genomics. This book was released on 2016-11-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: A handbook on computational analysis of whole exome sequence data

Author : Richard C. Deonier
Publisher : Springer
ISBN 13 : 9781441931627
Total Pages : 0 pages
Book Rating : 4.27/5 ( download)

DOWNLOAD NOW!

Download or read book Computational Genome Analysis written by Richard C. Deonier and published by Springer. This book was released on 2010-12-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Peter N. Robinson
Publisher : CRC Press
ISBN 13 : 1351650815
Total Pages : 518 pages
Book Rating : 4.16/5 ( download)

DOWNLOAD NOW!

Download or read book Computational Exome and Genome Analysis written by Peter N. Robinson and published by CRC Press. This book was released on 2017-09-13 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ion Mandoiu
Publisher : John Wiley & Sons
ISBN 13 : 1119272165
Total Pages : 464 pages
Book Rating : 4.68/5 ( download)

DOWNLOAD NOW!

Download or read book Computational Methods for Next Generation Sequencing Data Analysis written by Ion Mandoiu and published by John Wiley & Sons. This book was released on 2016-09-12 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces readers to core algorithmic techniques for next-generation sequencing (NGS) data analysis and discusses a wide range of computational techniques and applications This book provides an in-depth survey of some of the recent developments in NGS and discusses mathematical and computational challenges in various application areas of NGS technologies. The 18 chapters featured in this book have been authored by bioinformatics experts and represent the latest work in leading labs actively contributing to the fast-growing field of NGS. The book is divided into four parts: Part I focuses on computing and experimental infrastructure for NGS analysis, including chapters on cloud computing, modular pipelines for metabolic pathway reconstruction, pooling strategies for massive viral sequencing, and high-fidelity sequencing protocols. Part II concentrates on analysis of DNA sequencing data, covering the classic scaffolding problem, detection of genomic variants, including insertions and deletions, and analysis of DNA methylation sequencing data. Part III is devoted to analysis of RNA-seq data. This part discusses algorithms and compares software tools for transcriptome assembly along with methods for detection of alternative splicing and tools for transcriptome quantification and differential expression analysis. Part IV explores computational tools for NGS applications in microbiomics, including a discussion on error correction of NGS reads from viral populations, methods for viral quasispecies reconstruction, and a survey of state-of-the-art methods and future trends in microbiome analysis. Computational Methods for Next Generation Sequencing Data Analysis: Reviews computational techniques such as new combinatorial optimization methods, data structures, high performance computing, machine learning, and inference algorithms Discusses the mathematical and computational challenges in NGS technologies Covers NGS error correction, de novo genome transcriptome assembly, variant detection from NGS reads, and more This text is a reference for biomedical professionals interested in expanding their knowledge of computational techniques for NGS data analysis. The book is also useful for graduate and post-graduate students in bioinformatics.

Author : Deonier
Publisher :
ISBN 13 : 9788181287977
Total Pages : 535 pages
Book Rating : 4.75/5 ( download)

DOWNLOAD NOW!

Download or read book Computational Genome Analysis: An Introduction written by Deonier and published by . This book was released on 2007-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Yin Yao Shugart
Publisher : Springer Science & Business Media
ISBN 13 : 9400755589
Total Pages : 197 pages
Book Rating : 4.81/5 ( download)

DOWNLOAD NOW!

Download or read book Applied Computational Genomics written by Yin Yao Shugart and published by Springer Science & Business Media. This book was released on 2012-12-30 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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. ​

Author : Daniel McGuire
Publisher :
ISBN 13 : 9781682864074
Total Pages : 249 pages
Book Rating : 4.73/5 ( download)

DOWNLOAD NOW!

Download or read book Principles of Computational Biology and Genome Analysis written by Daniel McGuire and published by . This book was released on 2017-06-21 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.