Expression analysis and genome annotations with RNA sequencing

Masaaki Kobayashi; Hajime Ohyanagi; Kentaro Yano

doi:10.1007/978-3-319-17157-9_1

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 proceeding › Chapter › peer-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.

Original language	English (US)
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	https://doi.org/10.1007/978-3-319-17157-9_1
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

Access to Document

10.1007/978-3-319-17157-9_1

Cite this

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title = "Expression analysis and genome annotations with RNA sequencing",

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.",

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AU - Ohyanagi, Hajime

AU - Yano, Kentaro

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Y1 - 2015/1/1

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AB - 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.

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KW - Mrna-Seq

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Expression analysis and genome annotations with RNA sequencing

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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