Statistical genomics : methods and protocols /

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Bibliographic Details
Imprint:New York, NY : Humana Press, 2016.
Description:1 online resource (xi, 418 pages) : illustrations (some color)
Language:English
Series:Methods in molecular biology, 1064-3745 ; 1418
Methods in molecular biology (Clifton, N.J.) ; v. 1418.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11254221
Hidden Bibliographic Details
Other authors / contributors:Mathe, Ewy A., editor.
Davis, Sean, editor.
ISBN:9781493935789
149393578X
1493935763
9781493935765
9781493935765
Notes:Includes index.
Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed March 30, 2016).
Other form:Print version: Statistical genomics. New York, NY : Humana Press, 2016
Standard no.:10.1007/978-1-4939-3578-9

MARC

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490 1 |a Methods in molecular biology,  |x 1064-3745 ;  |v 1418 
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505 0 |a 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. 
504 |a Includes bibliographical references and index. 
650 0 |a Genomics  |x Statistical methods  |v Laboratory manuals. 
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776 0 8 |i Print version:  |t Statistical genomics.  |d New York, NY : Humana Press, 2016  |w (DLC) 2016933669 
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