RNA-Seq Data Analysis : A practical approach (Record no. 296486)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01908nam a22001817a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781466595002 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 572.88 KOR-R |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Eija Korpelainen |
| 245 ## - TITLE STATEMENT | |
| Title | RNA-Seq Data Analysis : A practical approach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Boca Raton |
| Name of publisher, distributor, etc. | CRC Press, Taylor & Francis Group |
| Date of publication, distribution, etc. | 2015 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiv, 298 p. : ill ; 24 cm. |
| 490 ## - SERIES STATEMENT | |
| Series statement | Chapman and Hall/CRC mathematical & computational biology series. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "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"- |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | RNA -- Analysis. Sequence Analysis, RNA -- methods. Transcriptome. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jarno Tuimala; Panu Somervuo; Mikael Huss; Garry Wong |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Total Renewals | Full call number | Barcode | Checked out | Date last seen | Date last checked out | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | Processing Center | 28/12/2017 | 8 | 1 | 572.88 KOR-R | DCB3190 | 06/03/2025 | 06/03/2025 | 06/03/2025 | 28/12/2017 | Book |