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POEAS:使用植物本体进行自动化植物表型组分析

POEAS: Automated Plant Phenomic Analysis Using Plant Ontology.

作者信息

Shameer Khader, Naika Mahantesha Bn, Mathew Oommen K, Sowdhamini Ramanathan

机构信息

National Centre for Biological Sciences (TIFR), GKVK Campus, Bangalore, India.

National Centre for Biological Sciences (TIFR), GKVK Campus, Bangalore, India. ; Department of Plant Biotechnology, University of Agricultural Sciences, GKVK Campus, Bangalore, India.

出版信息

Bioinform Biol Insights. 2014 Dec 21;8:209-14. doi: 10.4137/BBI.S19057. eCollection 2014.

Abstract

Biological enrichment analysis using gene ontology (GO) provides a global overview of the functional role of genes or proteins identified from large-scale genomic or proteomic experiments. Phenomic enrichment analysis of gene lists can provide an important layer of information as well as cellular components, molecular functions, and biological processes associated with gene lists. Plant phenomic enrichment analysis will be useful for performing new experiments to better understand plant systems and for the interpretation of gene or proteins identified from high-throughput experiments. Plant ontology (PO) is a compendium of terms to define the diverse phenotypic characteristics of plant species, including plant anatomy, morphology, and development stages. Adoption of this highly useful ontology is limited, when compared to GO, because of the lack of user-friendly tools that enable the use of PO for statistical enrichment analysis. To address this challenge, we introduce Plant Ontology Enrichment Analysis Server (POEAS) in the public domain. POEAS uses a simple list of genes as input data and performs enrichment analysis using Ontologizer 2.0 to provide results in two levels, enrichment results and visualization utilities, to generate ontological graphs that are of publication quality. POEAS also offers interactive options to identify user-defined background population sets, various multiple-testing correction methods, different enrichment calculation methods, and resampling tests to improve statistical significance. The availability of such a tool to perform phenomic enrichment analyses using plant genes as a complementary resource will permit the adoption of PO-based phenomic analysis as part of analytical workflows. POEAS can be accessed using the URL http://caps.ncbs.res.in/poeas.

摘要

使用基因本体论(GO)进行的生物富集分析,能全面概述从大规模基因组或蛋白质组实验中鉴定出的基因或蛋白质的功能作用。对基因列表进行表型富集分析,也能提供重要的信息层面,以及与基因列表相关的细胞成分、分子功能和生物过程。植物表型富集分析对于开展新实验以更好地理解植物系统,以及解释从高通量实验中鉴定出的基因或蛋白质将很有用。植物本体论(PO)是一个术语汇编,用于定义植物物种的各种表型特征,包括植物解剖结构、形态和发育阶段。与GO相比,由于缺乏便于用户使用的工具来利用PO进行统计富集分析,这种非常有用的本体论的采用受到限制。为应对这一挑战,我们在公共领域推出了植物本体论富集分析服务器(POEAS)。POEAS使用简单的基因列表作为输入数据,并使用Ontologizer 2.0进行富集分析,以提供两个层面的结果,即富集结果和可视化工具,来生成具有发表质量的本体图。POEAS还提供交互式选项,以识别用户定义的背景群体集、各种多重检验校正方法、不同的富集计算方法和重采样测试,以提高统计显著性。这样一个利用植物基因进行表型富集分析的工具的可用性,将允许采用基于PO的表型分析作为分析工作流程的一部分。可通过网址http://caps.ncbs.res.in/poeas访问POEAS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3844/4274039/18a97db130e6/bbi-8-2014-209f1.jpg

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