Genes2WordCloud: a quick way to identify biological themes from gene lists and free text.
Genes2WordCloud: a quick way to identify biological themes from gene lists and free text.
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DOI：
10.1186/1751-0473-6-15
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发表时间：
2011-10-13
影响因子：
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通讯作者：
Ma'ayan A
中科院分区：
文献类型：
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作者：
Baroukh C;Jenkins SL;Dannenfelser R;Ma'ayan A
词云最近出现在网络上，作为一种快速总结文本的解决方案，它通过在最小的空间内最大限度地显示与特定主题最相关的术语。由于生物学家面临着通常以文本格式呈现的令人生畏的新研究数据量，词云可以用于总结和表示各种应用的生物和/或生物医学内容。Genes 2 WordCloud是一个Web应用程序，使用户能够通过构建和显示单词云来快速识别基因列表中的生物主题和研究相关文本。它为用户提供了几个不同的选项和想法的来源，可用于生成一个词云。不同的渲染和着色词云的选项为用户提供了灵活性，可以快速生成他们选择的自定义词云。Genes 2 WordCloud是一个词云生成器和词云查看器，它基于WordCram，使用Java，Processing，AJAX，mySQL和PHP实现。文本从多个来源中提取，然后进行处理以提取最相关的术语，并根据词频计算其权重。Genes 2 WordCloud可免费在线使用;它是开源软件，可安装在任何网站上，沿着支持文档，网址为http://www.maayanlab.net/G2W。Genes 2 WordCloud提供了一种有用的方法来总结和可视化大量的文本生物数据，或者从几个不同的来源找到生物主题。该软件的开源可用性使用户能够在自己的网站和桌面应用程序上实现定制的单词云。
Word-clouds recently emerged on the web as a solution for quickly summarizing text by maximizing the display of most relevant terms about a specific topic in the minimum amount of space. As biologists are faced with the daunting amount of new research data commonly presented in textual formats, word-clouds can be used to summarize and represent biological and/or biomedical content for various applications. Genes2WordCloud is a web application that enables users to quickly identify biological themes from gene lists and research relevant text by constructing and displaying word-clouds. It provides users with several different options and ideas for the sources that can be used to generate a word-cloud. Different options for rendering and coloring the word-clouds give users the flexibility to quickly generate customized word-clouds of their choice. Genes2WordCloud is a word-cloud generator and a word-cloud viewer that is based on WordCram implemented using Java, Processing, AJAX, mySQL, and PHP. Text is fetched from several sources and then processed to extract the most relevant terms with their computed weights based on word frequencies. Genes2WordCloud is freely available for use online; it is open source software and is available for installation on any web-site along with supporting documentation at http://www.maayanlab.net/G2W. Genes2WordCloud provides a useful way to summarize and visualize large amounts of textual biological data or to find biological themes from several different sources. The open source availability of the software enables users to implement customized word-clouds on their own web-sites and desktop applications.