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

Copies in the Library

Location Call Number Status Location Service Notes
Lewis Library - Lewis Library - Serials (Off-Site) QH506 .M45 1984 vol.1418 Browse related items Request

    Details

    Subject(s)
    Editor
    Series
    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.
    Other format(s)
    Also available in an electronic version.
    ISBN
    • 9781493935765 ((alk. paper))
    • 1493935763 ((alk. paper))
    LCCN
    2016933669
    OCLC
    932095835
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