银河作为鉴定候选病原体效应子的平台。

Galaxy as a platform for identifying candidate pathogen effectors.

作者信息

Cock Peter J A, Pritchard Leighton

机构信息

Information and Computational Sciences, The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK,

出版信息

Methods Mol Biol. 2014;1127:3-15. doi: 10.1007/978-1-62703-986-4_1.

DOI:10.1007/978-1-62703-986-4_1

PMID:24643548

Abstract

The Galaxy web platform provides an integrated system for its users to run multiple computational tools, linking their output in order to perform sophisticated analysis without requiring any programming or installation of software beyond a modern web-browser. Analyses can be saved as reusable workflows, and shared with other Galaxy users, allowing them to easily perform the same analysis or protocol on their own data.We describe example Galaxy workflows for the identification of candidate pathogen effector proteins. Our main example focuses on nematode plant pathogens where signal peptide and transmembrane prediction tools are used to identify predicted secreted proteins.

摘要

Galaxy网络平台为用户提供了一个集成系统，用于运行多个计算工具，将它们的输出结果相链接，从而无需任何编程或安装除现代网络浏览器之外的软件，就能执行复杂的分析。分析结果可以保存为可重复使用的工作流程，并与其他Galaxy用户共享，使他们能够轻松地对自己的数据执行相同的分析或方案。我们描述了用于识别候选病原体效应蛋白的Galaxy工作流程示例。我们的主要示例聚焦于线虫植物病原体，其中信号肽和跨膜预测工具用于识别预测的分泌蛋白。