Expression analysis and genome annotations with RNA sequencing

Masaaki Kobayashi*, Hajime Ohyanagi, Kentaro Yano

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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. In addition, sequence analysis methods for mining single nucleotide polymorphisms (SNPs) with Genome-Seq are also shown here

Original languageEnglish (US)
Title of host publicationAdvances in the Understanding of Biological Sciences Using Next Generation Sequencing (NGS) Approaches
PublisherSpringer International Publishing
Pages1-12
Number of pages12
ISBN (Electronic)9783319171579
ISBN (Print)9783319171562
DOIs
StatePublished - Jan 1 2015

Keywords

  • Expression analysis
  • Genome-Seq
  • Mrna-Seq
  • Next-generation sequencing

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

Fingerprint Dive into the research topics of 'Expression analysis and genome annotations with RNA sequencing'. Together they form a unique fingerprint.

Cite this