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星系工具和工作流程用于序列分析,在分子植物病理学中有应用。

Galaxy tools and workflows for sequence analysis with applications in molecular plant pathology.

机构信息

Information and Computational Sciences, James Hutton Institute , UK.

出版信息

PeerJ. 2013 Sep 17;1:e167. doi: 10.7717/peerj.167. eCollection 2013.

Abstract

The Galaxy Project offers the popular web browser-based platform Galaxy for running bioinformatics tools and constructing simple workflows. Here, we present a broad collection of additional Galaxy tools for large scale analysis of gene and protein sequences. The motivating research theme is the identification of specific genes of interest in a range of non-model organisms, and our central example is the identification and prediction of "effector" proteins produced by plant pathogens in order to manipulate their host plant. This functional annotation of a pathogen's predicted capacity for virulence is a key step in translating sequence data into potential applications in plant pathology. This collection includes novel tools, and widely-used third-party tools such as NCBI BLAST+ wrapped for use within Galaxy. Individual bioinformatics software tools are typically available separately as standalone packages, or in online browser-based form. The Galaxy framework enables the user to combine these and other tools to automate organism scale analyses as workflows, without demanding familiarity with command line tools and scripting. Workflows created using Galaxy can be saved and are reusable, so may be distributed within and between research groups, facilitating the construction of a set of standardised, reusable bioinformatic protocols. The Galaxy tools and workflows described in this manuscript are open source and freely available from the Galaxy Tool Shed (http://usegalaxy.org/toolshed or http://toolshed.g2.bx.psu.edu).

摘要

Galaxy 项目提供了流行的基于网络浏览器的 Galaxy 平台,用于运行生物信息学工具和构建简单的工作流程。在这里,我们展示了广泛的额外 Galaxy 工具,用于大规模分析基因和蛋白质序列。这项研究的主题是确定一系列非模式生物中特定感兴趣基因,我们的中心示例是鉴定和预测植物病原体产生的“效应蛋白”,以操纵其宿主植物。对病原体预测毒力的功能注释是将序列数据转化为植物病理学潜在应用的关键步骤。这个集合包括新的工具,以及广泛使用的第三方工具,如 NCBI BLAST+,为了在 Galaxy 中使用而进行了封装。单个生物信息学软件工具通常可以单独作为独立的软件包使用,或者以在线基于网络的形式使用。Galaxy 框架使用户能够组合这些工具和其他工具来自动执行大规模分析工作流程,而无需熟悉命令行工具和脚本。使用 Galaxy 创建的工作流程可以保存并重复使用,因此可以在研究小组内部和之间分发,从而促进了一组标准化、可重复使用的生物信息学协议的构建。本文档中描述的 Galaxy 工具和工作流程是开源的,并可从 Galaxy 工具库(http://usegalaxy.org/toolshedhttp://toolshed.g2.bx.psu.edu)免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4243/3792188/3ad7f332feeb/peerj-01-167-g001.jpg

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