<b><i>Methods for analyzing next-generation sequencing data I. Introduction </i></b>

• Kadota Koji

  Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences The University of Tokyo.

• Sun Jianqiang

  Department of Biotechnology, Graduate School of Agricultural and Life Sciences The University of Tokyo.

• Tang Min

  Department of Biotechnology, Graduate School of Agricultural and Life Sciences The University of Tokyo.

• Nishioka Tasuku

  Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences The University of Tokyo.

• Shimizu Kentaro

  Agricultural Bioinformatics Research Unit, Graduate School of Agricultural and Life Sciences The University of Tokyo. Department of Biotechnology, Graduate School of Agricultural and Life Sciences The University of Tokyo.

Bibliographic Information

Other Title

• <b>次世代シーケンサーデータの解析手法 第1 回イントロダクション </b>

Abstract

Next-generation sequencing (NGS) technology is a fundamental means of studying genome, transcriptome, and microbiome. We can analyze NGS data of bacteria such as Lactobacillus using laptop computer nowadays. However, for many non-bioinformaticians, it is difficult to construct an environment for analyzing NGS data. In this review, we describe educational programs, websites, application softwares, programming languages, and webtools. An example of genome analysis of Lactobacillus casei 12A is also provided.

Journal

• Japanese Journal of Lactic Acid Bacteria

  Japanese Journal of Lactic Acid Bacteria 25 (2), 87-94, 2014

  Japan Society for Lactic Acid Bacteria

Keywords

• NGS
• RNA-seq
• Bioinformatics
• R
• Linux

Details

• CRID: 1390282679445607040
• NII Article ID: 130005085094
• DOI: 10.4109/jslab.25.87
• ISSN: 21865833
• ISSN: 1343327X
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed