Methods for analyzing next-generation sequencing data XII.Galaxy - Sharing histories and workflows

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

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  • 次世代シーケンサーデータの解析手法 第 12 回 Galaxy：ヒストリーとワークフロー
  • ジセダイ シーケンサーデータ ノ カイセキ シュホウ(ダイ12カイ)Galaxy : ヒストリー ト ワークフロー

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Abstract

<p>Galaxy is an integrative data analysis environment run on the web browser which users can use without using Linux command line. The previous article showed an introduction to the Galaxy system and the basic usage of the public Galaxy server “Galaxy Main.” In this article, using the last article’s results, we present the features to share the analysis results (history) with the other users, or ones to apply the analysis procedures (workflow) to the other data. We also show the useful Galaxy’s features such as copying data across histories, or the direct data import from remote servers. We found a compatibility issue on Internet Explorer with the Galaxy system. Thus we recommend using Google Chrome or Firefox to try the procedures we show in this article. Supplementary materials are available online at: http://www.iu.a.u-tokyo.ac.jp/~kadota/r_seq.html#about_book_JSLAB.</p>

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