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RNA-seq data analysis : a practical approach
- Material Type
- 전자책
- n891850888
- Date and Time of Latest Transaction
- 20180104060949.3
- ISBN
- 9781466595019 (electronic bk.)
- ISBN
- 1466595019 (electronic bk.)
- ISBN
- 9781466595002 (hardcover alk. paper)
- ISBN
- 1466595000 (hardcover alk. paper)
- 소장사항
-
MAIN
- LC Callnumber
- QP625.N89-K67 2015
- DDC
- 572.8/833-23
- Callnumber
- 472.193 K84r
- Author
- Korpelainen, Eija
- Title/Author
- RNA-seq data analysis : a practical approach / Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
- Material Info
- 1 online resource (xxiv, 298 pages) : illustrations.
- 총서명
- Chapman & Hall/CRC mathematical and computational biology series
- General Note
- "A Chapman & Hall book."
- 서지주기
- Includes bibliographical references and index.
- Formatted Contents Note
- 완전내용Chapter 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.
- Abstracts/Etc
- 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.
- Subject Added Entry-Topical Term
- Nucleotide sequence Data processing
- Subject Added Entry-Topical Term
- Nucleotide sequence Statistical methods
- Subject Added Entry-Topical Term
- SCIENCE Life Sciences Biochemistry.
- Subject Added Entry-Topical Term
- Nucleotide sequence Data processing.
- Subject Added Entry-Topical Term
- Nucleotide sequence Statistical methods.
- Subject Added Entry-Topical Term
- Sequence Analysis, RNA methods
- Subject Added Entry-Topical Term
- Transcriptome
- Subject Added Entry-Topical Term
- Statistics as Topic
- Added Entry-Personal Name
- Tuimala, Jarno
- Added Entry-Personal Name
- Somervuo, Panu
- Added Entry-Personal Name
- Huss, Mikael
- Added Entry-Personal Name
- Wong, Garry
- Additional Physical Form Entry
- Print versionKorpelainen, Eija. RNA-seq data analysis. Boca Raton : Taylor & Francis, 2015 9781466595002 (DLC) 2014024218 (OCoLC)881838924
- Series Added Entry-Uniform Title
- Chapman and Hall/CRC mathematical & computational biology series.
- Electronic Location and Access
- 링크정보보기
- Control Number
- yscl:138683
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