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Statistical genomics : methods and protocols / edited by Ewy Mathé, Biomedical Informatics, College of Medicine, Ohio State University, Columbus, OH, USA, Sean Davis, National Institutes of Health, National Cancer Institute, Bethesda, MD, USA.
Format
Book
Language
English
Published/Created
New York : Humana Press, [2016]
©2016
Description
xi, 418 pages : illustrations ; 26 cm
Availability
Available Online
Online Content
Springer Nature - Complete Protocols
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Lewis Library - Lewis Library - Serials (Off-Site)
QH506 .M45 1984 vol.1418
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Details
Subject(s)
Genomics
—
Statistical methods
—
Laboratory manuals
[Browse]
Editor
Mathe, Ewy A.
[Browse]
Davis, Sean (Cancer specialist)
[Browse]
Series
Methods in molecular biology (Clifton, N.J.) ; v. 1418.
[More in this series]
Springer protocols (Series)
[More in this series]
Methods in molecular biology, 1064-3745 ; 1418
Springer protocols
Bibliographic references
Includes bibliographical references and index.
Contents
Overview of sequence data formats / Hongen Zhang
Integrative exploratory analysis of two or more genomic datasets / Chen Meng and Aedin Culhane
Study design for sequencing studies / Loren A. Honaas, Naomi S. Altman, and Martin Krzywinski
Genomic annotation resources in R/Bioconductor / Marc R.J. Carlson, Hervé Pagès, Sonali Arora, Valerie Obenchain, and Martin Morgan
The gene expression omnibus database / Emily Clough and Tanya Barrett
A practical guide to The Cancer Genome Atlas (TCGA) / Zhining Wang, Mark A. Jensen, and Jean Claude Zenklusen
Working with oligonucleotide arrays / Benilton S. Carvalho
Meta-analysis in gene expression studies / Levi Waldron and Markus Riester
Practical analysis of genome contact interaction experiments / Mark A Carty and Olivier Elemento
Quantitative comparison of large-scale DNA enrichment sequencing data / Matthias Lienhard and Lukas Chavez
Variant calling from next generation sequence data / Nancy F. Hansen
Genome-scale analysis of cell-specific regulatory codes using nuclear enzymes / Songjoon Baek and Myong-Hee Sung
NGS-QC generator : a quality control system for ChIP-seq and related deep sequencing-generated datasets / Marco Antonio Mendoza-Parra, Mohamed-Ashick M. Saleem, Matthias Blum, Pierre-Etienne Cholley, and Hinrich Gronemeyer
Operating on genomic ranges using BEDOPS / Shane Neph, Alex P. Reynolds, M. Scott Kuehn, and John A. Stamatoyannopoulos
GMAP and GSNAP for genomic sequence alignment : enhancements to speed, accuracy, and functionality / Thomas D. Wu, Jens Reeder, Michael Lawrence, Gabe Becker, and Matthew J. Brauer
Visualizing genomic data using Gviz and Bioconductor / Florian Hahne and Robert Ivanek
Introducing machine learning concepts with WEKA / Tony C. Smith and Eibe Frank
Experimental design and power calculation for RNA-seq experiments / Zhijin Wu and Hao Wu
It's DE-licious : a recipe for differential expression analyses of RNA-seq experiments using quasi-likelihood methods in edgeR / Aaron T.L. Lun, Yunshun Chen, and Gordon K. Smyth.
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Other format(s)
Also available in an electronic version.
ISBN
9781493935765 ((alk. paper))
1493935763 ((alk. paper))
LCCN
2016933669
OCLC
932095835
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Statistical Genomics [electronic resource] : Methods and Protocols / edited by Ewy Mathé, Sean Davis.
id
99125246705706421