Omics Analysis and Databases for Plant Science

Masaaki Kobayashi; Hajime Ohyanagi; Kentaro Yano

doi:10.1002/9781118930458.ch13

Omics Analysis and Databases for Plant Science

Masaaki Kobayashi^*, Hajime Ohyanagi, Kentaro Yano

^*Corresponding author for this work

Biological, Environmental Sciences and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

Recent development of state-of-the-art appliances for molecular biology brought in an era of big data biology. Now achieving a comprehensive understanding of the data processing procedures and data repositories of such latest biological information is an essential exercise for new plant scientists. In this chapter, we particularly summarize the procedures for next-generation sequencing (NGS) data processing and the NGS applications for plant sciences. In addition, we would overview some prominent plant genome/annotation databases, transcriptome databases and other omics databases.

Original language	English (US)
Title of host publication	Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods
Subtitle of host publication	Second Edition
Publisher	Wiley-Blackwell
Pages	150-159
Number of pages	10
ISBN (Electronic)	9781118930458
ISBN (Print)	9781118930427
DOIs	https://doi.org/10.1002/9781118930458.ch13
State	Published - Oct 5 2015

Keywords

Database
De novo genome assembly
Gene expression network (GEN)
Genome resequencing
Genotyping by sequencing (GBS)
Natural Language Processing (NLP)
Next-generation sequencing (NGS)
Omics
Restriction-site associated DNA sequencing (RAD-Seq)
Transcriptome analysis

ASJC Scopus subject areas

General Engineering
General Agricultural and Biological Sciences

Access to Document

10.1002/9781118930458.ch13

Cite this

@inbook{0e277afdb4b64664a1b43e626ecf0031,

title = "Omics Analysis and Databases for Plant Science",

abstract = "Recent development of state-of-the-art appliances for molecular biology brought in an era of big data biology. Now achieving a comprehensive understanding of the data processing procedures and data repositories of such latest biological information is an essential exercise for new plant scientists. In this chapter, we particularly summarize the procedures for next-generation sequencing (NGS) data processing and the NGS applications for plant sciences. In addition, we would overview some prominent plant genome/annotation databases, transcriptome databases and other omics databases.",

keywords = "Database, De novo genome assembly, Gene expression network (GEN), Genome resequencing, Genotyping by sequencing (GBS), Natural Language Processing (NLP), Next-generation sequencing (NGS), Omics, Restriction-site associated DNA sequencing (RAD-Seq), Transcriptome analysis",

author = "Masaaki Kobayashi and Hajime Ohyanagi and Kentaro Yano",

year = "2015",

month = oct,

day = "5",

doi = "10.1002/9781118930458.ch13",

language = "English (US)",

isbn = "9781118930427",

pages = "150--159",

booktitle = "Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods",

publisher = "Wiley-Blackwell",

}

TY - CHAP

T1 - Omics Analysis and Databases for Plant Science

AU - Kobayashi, Masaaki

AU - Ohyanagi, Hajime

AU - Yano, Kentaro

PY - 2015/10/5

Y1 - 2015/10/5

N2 - Recent development of state-of-the-art appliances for molecular biology brought in an era of big data biology. Now achieving a comprehensive understanding of the data processing procedures and data repositories of such latest biological information is an essential exercise for new plant scientists. In this chapter, we particularly summarize the procedures for next-generation sequencing (NGS) data processing and the NGS applications for plant sciences. In addition, we would overview some prominent plant genome/annotation databases, transcriptome databases and other omics databases.

AB - Recent development of state-of-the-art appliances for molecular biology brought in an era of big data biology. Now achieving a comprehensive understanding of the data processing procedures and data repositories of such latest biological information is an essential exercise for new plant scientists. In this chapter, we particularly summarize the procedures for next-generation sequencing (NGS) data processing and the NGS applications for plant sciences. In addition, we would overview some prominent plant genome/annotation databases, transcriptome databases and other omics databases.

KW - Database

KW - De novo genome assembly

KW - Gene expression network (GEN)

KW - Genome resequencing

KW - Genotyping by sequencing (GBS)

KW - Natural Language Processing (NLP)

KW - Next-generation sequencing (NGS)

KW - Omics

KW - Restriction-site associated DNA sequencing (RAD-Seq)

KW - Transcriptome analysis

UR - http://www.scopus.com/inward/record.url?scp=84976871379&partnerID=8YFLogxK

U2 - 10.1002/9781118930458.ch13

DO - 10.1002/9781118930458.ch13

M3 - Chapter

AN - SCOPUS:84976871379

SN - 9781118930427

SP - 150

EP - 159

BT - Genomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods

PB - Wiley-Blackwell

ER -

Omics Analysis and Databases for Plant Science

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this