Statistical Genomics: Methods and Protocols

Author:   Ewy Mathé ,  Sean Davis
Publisher:   Humana Press Inc.
Edition:   Softcover reprint of the original 1st ed. 2016
Volume:   1418
ISBN:  

9781493980833


Pages:   418
Publication Date:   19 April 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Statistical Genomics: Methods and Protocols


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Full Product Details

Author:   Ewy Mathé ,  Sean Davis
Publisher:   Humana Press Inc.
Imprint:   Humana Press Inc.
Edition:   Softcover reprint of the original 1st ed. 2016
Volume:   1418
Dimensions:   Width: 17.80cm , Height: 2.20cm , Length: 25.40cm
Weight:   8.062kg
ISBN:  

9781493980833


ISBN 10:   1493980831
Pages:   418
Publication Date:   19 April 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Overview of Sequence Data Formats.- Integrative Exploratory Analysis of Two or More Genomic Datasets.- Study Design for Sequencing Studies.- Genomic Annotation Resources in R/Bioconductor.- The Gene Expression Omnibus Database.- A Practical Guide to the Cancer Genome Atlas (TCGA).- Working with Oligonucleotide Arrays.- Meta-Analysis in Gene Expression Studies.- Practical Analysis of Genome Contact Interaction Experiments.- Quantitative Comparison of Large-Scale DNA Enrichment Sequencing Data.- Variant Calling From Next Generation Sequence Data.- Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes.- NGS-QC Generator: A Quality Control System for ChIP-seq and Related Deep Sequencing-Generated Datasets.- Operating on Genomic Ranges Using BEDOPS.- GMAP and GSNAP for Genomic Sequence Alignment: Enhancements to Speed, Accuracy, and Functionality.- Visualizing Genomic Data using Gviz and Bioconductor.- Introducing Machine Learning Concepts with WEKA.- Experimental Design and Power Calculation for RNA-Seq Experiments.- It’s DE-licious: A Recipe for Differential Expression Analyses of RNA-Seq Experiments Using Quasi-Likelihood Methods in EdgeR.

Reviews

This collection of articles offers a thorough overview of the field, making it an opportune and useful addition to the literature. The book is written in an accessible language and the variety of the topics which are presented recommends it as an excellent starting point or updated reference of the field. It is suitable for both post-graduate and established researchers, and the numerous examples that accompany the discussed topics recommend it as an asset. (Irina Ioana Mohorianu, zbMATH 1346.92003, 2016) This collection of articles offers a thorough overview of the field, making it an opportune and useful addition to the literature. The book is written in an accessible language and the variety of the topics which are presented recommends it as an excellent starting point or updated reference of the field. It is suitable for both post-graduate and established researchers, and the numerous examples that accompany the discussed topics recommend it as an asset. (Irina Ioana Mohorianu, zbMATH 1346.92003, 2016)


This collection of articles offers a thorough overview of the field, making it an opportune and useful addition to the literature. The book is written in an accessible language and the variety of the topics which are presented recommends it as an excellent starting point or updated reference of the field. It is suitable for both post-graduate and established researchers, and the numerous examples that accompany the discussed topics recommend it as an asset. (Irina Ioana Mohorianu, zbMATH 1346.92003, 2016)


“This collection of articles offers a thorough overview of the field, making it an opportune and useful addition to the literature. The book is written in an accessible language and the variety of the topics which are presented recommends it as an excellent starting point or updated reference of the field. It is suitable for both post-graduate and established researchers, and the numerous examples that accompany the discussed topics recommend it as an asset.” (Irina Ioana Mohorianu, zbMATH 1346.92003, 2016)


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