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Galaxy 和 Apollo 作为一个对生物学家友好的接口,用于高质量的合作噬菌体基因组注释。

Galaxy and Apollo as a biologist-friendly interface for high-quality cooperative phage genome annotation.

机构信息

Center for Phage Technology, Texas A&M University, College Station, Texas, United States of America.

Department of Biochemistry and Biophysics, Texas A&M University, College Station, Texas, United States of America.

出版信息

PLoS Comput Biol. 2020 Nov 2;16(11):e1008214. doi: 10.1371/journal.pcbi.1008214. eCollection 2020 Nov.

Abstract

In the modern genomic era, scientists without extensive bioinformatic training need to apply high-power computational analyses to critical tasks like phage genome annotation. At the Center for Phage Technology (CPT), we developed a suite of phage-oriented tools housed in open, user-friendly web-based interfaces. A Galaxy platform conducts computationally intensive analyses and Apollo, a collaborative genome annotation editor, visualizes the results of these analyses. The collection includes open source applications such as the BLAST+ suite, InterProScan, and several gene callers, as well as unique tools developed at the CPT that allow maximum user flexibility. We describe in detail programs for finding Shine-Dalgarno sequences, resources used for confident identification of lysis genes such as spanins, and methods used for identifying interrupted genes that contain frameshifts or introns. At the CPT, genome annotation is separated into two robust segments that are facilitated through the automated execution of many tools chained together in an operation called a workflow. First, the structural annotation workflow results in gene and other feature calls. This is followed by a functional annotation workflow that combines sequence comparisons and conserved domain searching, which is contextualized to allow integrated evidence assessment in functional prediction. Finally, we describe a workflow used for comparative genomics. Using this multi-purpose platform enables researchers to easily and accurately annotate an entire phage genome. The portal can be accessed at https://cpt.tamu.edu/galaxy-pub with accompanying user training material.

摘要

在现代基因组学时代,没有广泛生物信息学培训的科学家需要将强大的计算分析应用于关键任务,如噬菌体基因组注释。在噬菌体技术中心(CPT),我们开发了一套面向噬菌体的工具,这些工具都位于开放、用户友好的基于网络的界面中。一个 Galaxy 平台进行计算密集型分析,Apollo 是一个协作基因组注释编辑器,用于可视化这些分析的结果。该集合包括 BLAST+套件、InterProScan 等开源应用程序,以及 CPT 开发的独特工具,这些工具允许用户最大程度地灵活运用。我们详细介绍了用于查找 Shine-Dalgarno 序列的程序、用于可靠识别裂解基因(如 spanin)的资源,以及用于识别包含移码或内含子的中断基因的方法。在 CPT,基因组注释被分为两个强大的部分,通过自动执行许多工具并将它们链接在一起形成一个称为工作流的操作来实现。首先,结构注释工作流生成基因和其他特征调用。然后是功能注释工作流,它结合了序列比较和保守域搜索,这是上下文化的,允许在功能预测中进行综合证据评估。最后,我们描述了用于比较基因组学的工作流程。使用这个多用途的平台,研究人员可以轻松、准确地注释整个噬菌体基因组。该门户可在 https://cpt.tamu.edu/galaxy-pub 访问,并提供配套的用户培训材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/282f/7660901/fbc1ef6f053a/pcbi.1008214.g001.jpg

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