Abstract
mRNA-Seq analysis with next-generation sequencing (NGS) provides large-scale gene expression profiles. Expression profile analysis against large-scale data permits us to discover novel genes with specific expression profiles. In this chapter, methods for mRNA-Seq analysis with NGS and large-scale expression analysis are introduced. It has become difficult to handle large-scale expression data by conventional statistical methods, such as hierarchical clustering method, as most of these methods for the large-scale expression data require long calculation times and substantial computer resources. Therefore, large-scale expression analysis methods that are efficiently and quickly executable without large computer resources are the main focus here.
Original language | English (US) |
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Title of host publication | Advances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches |
Publisher | Springer International Publishing |
Pages | 1-12 |
Number of pages | 12 |
ISBN (Electronic) | 9783319171579 |
ISBN (Print) | 9783319171562 |
DOIs | |
State | Published - Jan 1 2015 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2015.
Keywords
- Expression analysis
- Genome-Seq
- Mrna-Seq
- Next-generation sequencing
ASJC Scopus subject areas
- General Agricultural and Biological Sciences