rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: RNA-seq data analysis
    sub title: a practical approach
  name:
    name part: Korpelainen, Eija
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Tuimala, Jarno
    role:
      role term: author.
  name:
    name part: Somervuo, Panu
    role:
      role term: author.
  name:
    name part: Huss, Mikael
    role:
      role term: author.
  name:
    name part: Wong, Garry
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: flu
    date issued: 2015
    copyright date: 2015
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xxiv, 298 pages : illustrations ; 24 cm.
  abstract: "RNA-seq offers unprecedented information about transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. This self-contained guide enables researchers to examine differential expression at gene, exon, and transcript level and to discover novel genes, transcripts, and whole transcriptomes. Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools. The book also provides examples using command line tools and the R statistical environment. For non-programming scientists, the same examples are covered using open source software with a graphical user interface"--
  table of contents: Chapter 1. Introduction to RNA-seq -- chapter 2. Introduction to RNA-seq data analysis -- chapter 3. Quality control and preprocessing -- chapter 4. Aligning reads to reference -- chapter 5. Transcriptome assembly -- chapter 6. Quantitation and annotation-based quality control -- chapter 7. RNA-seq analysis framework in R and bioconductor -- chapter 8. Differential expression analysis -- chapter 9. Analysis of differential exon usage -- chapter 10. Annotating the results -- chapter 11. Visualization -- chapter 12. Small noncoding RNAs -- chapter 13. Computational analysis of small noncoding RNA sequencing data.
  note: Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong.
  note: "A Chapman & Hall book."
  note: Includes bibliographical references and index.
  subject:
    topic: RNA
    topic: Analysis
  subject:
    topic: Sequence Analysis, RNA
    topic: methods
  subject:
    topic: Transcriptome
  subject:
    topic: Statistics as Topic
  subject:
    topic: RNA
    topic: Analysis
  classification: QP623 .K67 2015
  classification: 572.8/8
  classification: 2014 M-484
  classification: QU 58.7
  classification: QU58.7 KOR
  related item:
    title info:
      title: Chapman and Hall/CRC mathematical & computational biology series
  identifier: 9781466595002
  identifier: 1466595000
  identifier: 2014024218
  record info:
    record content source: DNLM/DLC
    record creation date: 140623
    record change date: 20180129125726.0
    record identifier: in00003896802
    language of cataloging:
      language term: eng