서브메뉴
검색
RNA-seq data analysis : a practical approach
- 자료유형
- 전자책
- n891850888
- ISBN
- 9781466595019 (electronic bk.)
- ISBN
- 1466595019 (electronic bk.)
- ISBN
- 9781466595002 (hardcover alk. paper)
- ISBN
- 1466595000 (hardcover alk. paper)
- 소장사항
-
MAIN
- 미국회청구기호
- QP625.N89-K67 2015
- DDC
- 572.8/833-23
- 청구기호
- 472.193 K84r
- 서명/저자
- RNA-seq data analysis : a practical approach / Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong
- 형태사항
- 1 online resource (xxiv, 298 pages) : illustrations.
- 총서명
- Chapman & Hall/CRC mathematical and computational biology series
- 주기사항
- "A Chapman & Hall book."
- 서지주기
- Includes bibliographical references and index.
- 내용주기
- 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.
- 초록/해제
- 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.
- 일반주제명
- Transcriptome
- 일반주제명
- Statistics as Topic
- 기타저자
- Tuimala, Jarno
- 기타저자
- Somervuo, Panu
- 기타저자
- Huss, Mikael
- 기타저자
- Wong, Garry
- 기타형태저록
- Print versionKorpelainen, Eija. RNA-seq data analysis. Boca Raton : Taylor & Francis, 2015 9781466595002 (DLC) 2014024218 (OCoLC)881838924
- 통일총서명
- Chapman and Hall/CRC mathematical & computational biology series.
- 전자적 위치 및 접속
- 링크정보보기
- Control Number
- yscl:138683
해당 도서를 다른 이용자가 함께 대출한 도서
관련도서
관련 인기도서
로그인 후 이용 가능합니다.