Tell your friends about this item:
RNA-seq Data Analysis: A Practical Approach - Chapman & Hall / CRC Computational Biology Series Eija Korpelainen 1st edition
Ordered from remote warehouse
Our customers say:
RNA-seq Data Analysis: A Practical Approach - Chapman & Hall / CRC Computational Biology Series
Eija Korpelainen
The State of the Art in Transcriptome Analysis RNA sequencing (RNA-seq) data offers unprecedented information about the transcriptome, but harnessing this information with bioinformatics tools is typically a bottleneck. RNA-seq Data Analysis: A Practical Approach enables researchers to examine differential expression at gene, exon, and transcript levels and to discover novel genes, transcripts, and whole transcriptomes.
Balanced Coverage of Theory and Practice.Each chapter starts with theoretical background, followed by descriptions of relevant analysis tools and practical examples. Accessible to both bioinformaticians and nonprogramming wet lab scientists, the examples illustrate the use of command-line tools, R, and other open source tools, such as the graphical Chipster software.
The Tools and Methods to Get Started in Your Lab. Taking readers through the whole data analysis workflow, this self-contained guide provides a detailed overview of the main RNA-seq data analysis methods and explains how to use them in practice. It is suitable for researchers from a wide variety of backgrounds, including biology, medicine, genetics, and computer science. The book can also be used in a graduate or advanced undergraduate course.
322 pages, 55 black & white illustrations, 12 black & white tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | September 19, 2014 |
| ISBN13 | 9781466595002 |
| Publishers | Taylor & Francis Inc |
| Pages | 324 |
| Dimensions | 170 × 242 × 22 mm · 592 g |
| Language | English |
