상세정보
Export to Refworks부가기능
RNA-seq data analysis : a practical approach
상세 프로파일
| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | RNA-seq data analysis : a practical approach/ Eija Korpelainen, Jarno Tuimala, Panu Somervuo, Mikael Huss, Garry Wong. |
| 개인저자 | Korpelainen, Eija,author. Tuimala, Jarno,author, Somervuo, Panu,author, Huss, Mikael,author, Wong, Garry,author, |
| 형태사항 | 1 online resource (xxiv, 298 pages): illustrations. |
| 총서사항 | Chapman & Hall/CRC mathematical and computational biology series |
| 기타형태 저록 | Print version: Korpelainen, Eija. RNA-seq data analysis. Boca Raton : Taylor & Francis, 2015 9781466595002 |
| ISBN | 9781466595019 1466595019 |
| 일반주기 |
"A Chapman & Hall book."
|
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | 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. |
| 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 | Nucleotide 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. |
| 언어 | 영어 |
| 바로가기 |  |
