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RNA-seq data analysis : a practical approach /

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자료유형E-Book
개인저자Korpelainen, Eija, author.
Tuimala, Jarno, author.
Somervuo, Panu, author.
Huss, Mikael, author.
Wong, Garry, author.
서명/저자사항RNA-seq data analysis :a practical approach /Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong.
형태사항1 online resource (xxiv, 298 pages) : illustrations.
총서사항Chapman & Hall/CRC mathematical and computational biology series
소장본 주기eBooks on EBSCOhostAll EBSCO eBooks
ISBN9781466595019
1466595019


일반주기 "A Chapman & Hall book."
서지주기Includes bibliographical references and index.
내용주기Chapter 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.
요약"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"--Provided by publisher.
일반주제명Nucleotide sequence -- Data processing.
Nucleotide sequence -- Statistical methods.
SCIENCE -- Life Sciences -- Biochemistry.
Nucleotide sequence -- Data processing.
Nucleotide sequence -- Statistical methods.
Sequence Analysis, RNA -- methods.
Transcriptome.
Statistics as Topic.
언어영어
기타형태 저록Print version:Korpelainen, Eija.RNA-seq data analysis.Boca Raton : Taylor & Francis, 20159781466595002
대출바로가기http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1048842

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