<b>Methods for analyzing next-generation sequencing data </b><b>XI.Galaxy -an integrated data analysis environment </b>

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  • Ohta Tazro
    Database Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems.
  • Terada Tomoko
    Graduate School of Agricultural and Life Sciences, The University of Tokyo.
  • Shimizu Kentaro
    Graduate School of Agricultural and Life Sciences, The University of Tokyo.
  • Kadota Koji
    Graduate School of Agricultural and Life Sciences, The University of Tokyo.

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  • <b>次世代シーケンサーデータの解析手法 第 11 回 </b><b>統合データ解析環境 Galaxy </b>
  • 次世代シーケンサーデータの解析手法(第11回)統合データ解析環境Galaxy
  • ジセダイ シーケンサーデータ ノ カイセキ シュホウ(ダイ11カイ)トウゴウ データ カイセキ カンキョウ Galaxy

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<p>There are a variety of methods to analyze Next-Generation Sequencing (NGS) data. In this series, we have introduced data analysis methods based on the Command Line Interface (CLI) which uses keyboard input. However, there are still many users demanding an analysis method using the mouse input. Here, we introduce the Galaxy, an integrated data analysis environment which is one of the most popular data analysis methods. Galaxy can be categorized as a web tool as it is used via a web browser. However, it is not straightforward to get used to Galaxy, because of its looking and terms, for example, workflows or history management. This paper shows the overview of Galaxy and the basic usage of the public server. Supplementary materials are available at our web site, http://www.iu.a.u-tokyo.ac.jp/~kadota/r_seq.html#about_book_JSLAB.</p>

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