Omics Analysis and Databases for Plant Science

Masaaki Kobayashi*, Hajime Ohyanagi, Kentaro Yano

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations


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 languageEnglish (US)
Title of host publicationGenomics, Proteomics and Metabolomics in Nutraceuticals and Functional Foods
Subtitle of host publicationSecond Edition
Number of pages10
ISBN (Electronic)9781118930458
ISBN (Print)9781118930427
StatePublished - Oct 5 2015


  • 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

  • Engineering(all)
  • Agricultural and Biological Sciences(all)


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