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用于生成基因表达解剖图谱的人类“eFP”浏览器。

A Human "eFP" Browser for Generating Gene Expression Anatograms.

作者信息

Patel Rohan V, Hamanishi Erin T, Provart Nicholas J

机构信息

Department of Cell & Systems Biology, 25 Willcocks Street, University of Toronto, Toronto, ON, M5S 3B2, Canada.

Centre for the Analysis of Genome Evolution and Function, 25 Willcocks Street, University of Toronto, Toronto, ON, M5S 3B2, Canada.

出版信息

PLoS One. 2016 Mar 8;11(3):e0150982. doi: 10.1371/journal.pone.0150982. eCollection 2016.

Abstract

Transcriptomic studies help to further our understanding of gene function. Human transcriptomic studies tend to focus on a particular subset of tissue types or a particular disease state; however, it is possible to collate into a compendium multiple studies that have been profiled using the same expression analysis platform to provide an overview of gene expression levels in many different tissues or under different conditions. In order to increase the knowledge and understanding we gain from such studies, intuitive visualization of gene expression data in such a compendium can be useful. The Human eFP ("electronic Fluorescent Pictograph") Browser presented here is a tool for intuitive visualization of large human gene expression data sets on pictographic representations of the human body as gene expression "anatograms". Pictographic representations for new data sets may be generated easily. The Human eFP Browser can also serve as a portal to other gene-specific information through link-outs to various online resources.

摘要

转录组学研究有助于加深我们对基因功能的理解。人类转录组学研究往往聚焦于特定的组织类型子集或特定的疾病状态;然而,有可能将使用相同表达分析平台进行分析的多项研究整理成一个汇编,以提供许多不同组织中或不同条件下基因表达水平的概述。为了增加我们从此类研究中获得的知识和理解,在此类汇编中对基因表达数据进行直观可视化可能会很有用。这里展示的人类eFP(“电子荧光象形图”)浏览器是一种工具,用于在人体的象形表示上直观可视化大型人类基因表达数据集,即基因表达“解剖图”。新数据集的象形表示可以轻松生成。人类eFP浏览器还可以通过链接到各种在线资源,作为获取其他基因特定信息的门户。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ded/4783024/2a690c28fad9/pone.0150982.g001.jpg

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