Suppr超能文献

微反应:可视化和共享基因组流行病学和系统地理学数据。

Microreact: visualizing and sharing data for genomic epidemiology and phylogeography.

机构信息

1​The Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Hinxton CB10 1SA, UK.

2​Department of Infectious Disease Epidemiology, Imperial College London, London W2 1PG, UK.

出版信息

Microb Genom. 2016 Nov 30;2(11):e000093. doi: 10.1099/mgen.0.000093. eCollection 2016 Nov.

Abstract

Visualization is frequently used to aid our interpretation of complex datasets. Within microbial genomics, visualizing the relationships between multiple genomes as a tree provides a framework onto which associated data (geographical, temporal, phenotypic and epidemiological) are added to generate hypotheses and to explore the dynamics of the system under investigation. Selected static images are then used within publications to highlight the key findings to a wider audience. However, these images are a very inadequate way of exploring and interpreting the richness of the data. There is, therefore, a need for flexible, interactive software that presents the population genomic outputs and associated data in a user-friendly manner for a wide range of end users, from trained bioinformaticians to front-line epidemiologists and health workers. Here, we present Microreact, a web application for the easy visualization of datasets consisting of any combination of trees, geographical, temporal and associated metadata. Data files can be uploaded to Microreact directly via the web browser or by linking to their location (e.g. from Google Drive/Dropbox or via API), and an integrated visualization via trees, maps, timelines and tables provides interactive querying of the data. The visualization can be shared as a permanent web link among collaborators, or embedded within publications to enable readers to explore and download the data. Microreact can act as an end point for any tool or bioinformatic pipeline that ultimately generates a tree, and provides a simple, yet powerful, visualization method that will aid research and discovery and the open sharing of datasets.

摘要

可视化技术常用于帮助我们理解复杂的数据集。在微生物基因组学中,将多个基因组之间的关系可视化成一棵树的形式,为相关数据(地理、时间、表型和流行病学)的添加提供了一个框架,以生成假设并探索所研究系统的动态。然后,在出版物中选择静态图像来向更广泛的受众突出关键发现。然而,这些图像是探索和解释数据丰富性的一种非常不充分的方式。因此,需要一种灵活的交互式软件,以用户友好的方式呈现群体基因组学的输出和相关数据,以满足从训练有素的生物信息学家到一线流行病学家和卫生工作者等广泛的最终用户的需求。在这里,我们介绍了 Microreact,这是一个用于轻松可视化由任意组合的树、地理、时间和相关元数据组成的数据集的 Web 应用程序。可以通过网络浏览器直接将数据文件上传到 Microreact,也可以通过链接到其位置(例如来自 Google Drive/Dropbox 或通过 API),通过树、地图、时间线和表格的集成可视化,可以对数据进行交互式查询。可视化可以作为协作人员之间的永久网络链接进行共享,也可以嵌入到出版物中,以允许读者探索和下载数据。Microreact 可以作为任何最终生成一棵树的工具或生物信息学管道的终点,并提供一种简单而强大的可视化方法,将有助于研究和发现以及数据集的开放共享。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba56/5320705/839cce37369d/mgen-02-93-f001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验