用前必读
1，使用excel存储并调整数据，然后拷贝、粘贴到输入框
2，先用输入框下方的“输入检查”按钮检查输入，通过后再作图
3，表头请勿使用#，<，>，%，(，)等特殊符号。默认仅支持英文字符
4，使用inkscape或者AI修改文字、字体，图例，处理截断
5，生信项目合作，提交bug、发文引用换积分，请加管理员微信（页面右下）

人工客服   基因名转换   FC,P转换   常用配色 需求及bug提交   pdf转图片
必需输入

可选输入
图片大小
图片宽度：，图片高度：
最小文字尺寸：
最大显示word数：
英文逗号(,)分割的停用字，例如：不想显示cancer和gene，则填写cancer,gene


颜色和绘图区域
默认颜色，默认长方形
默认颜色，自定义背景图区域
背景图颜色，自定义背景图区域
背景图URL：
说明：1，背景图颜色：根据所提供的背景图的颜色，进行绘图
2，背景图区域：在所提供图片的**非白色**区域内绘制（可以PS下）
推荐的搜索下载网站：https://www.onlinewebfonts.com/icon/ 关键词搜索你感兴趣的图片，拷贝粘贴地址。
例如：https://pic.onlinewebfonts.com/svg/img_460260.png，将文字局限于新冠注释器内

词云（wordcloud）

简介
以带颜色的word图显示一段文本中的word，频率越高，字体越大。可以帮助我们快速了解一段文字。注：该图不是矢量图。
数据说明
数据为一段文字，支持中英文混编
论文例子
An overview of literature on COVID-19, MERS and SARS: Using text mining and latent Dirichlet allocation Fig 7.
输入 The unprecedented outbreak of COVID-19 is one of the most serious global threats to public health in this century. During this crisis, specialists in information science could play key roles to support the efforts of scientists in the health and medical community for combatting COVID-19. In this article, we demonstrate that information specialists can support health and medical community by applying text mining technique with latent Dirichlet allocation procedure to perform an overview of a mass of coronavirus literature. This overview presents the generic research themes of the coronavirus diseases: COVID-19, MERS and SARS, reveals the representative literature per main research theme and displays a network visualisation to explore the overlapping, similarity and difference among these themes. The overview can help the health and medical communities to extract useful information and interrelationships from coronavirus-related studies.
输出

如何引用？

建议直接写网址。3600+篇google学术，3000+篇知网学术
正式引用：Tang D, Chen M, Huang X, Zhang G, Zeng L, Zhang G, Wu S, Wang Y.SRplot: A free online platform for data visualization and graphing. PLoS One. 2023 Nov 9;18(11):e0294236. doi: 10.1371/journal.pone.0294236. PMID: 37943830.
方法章节：Heatmap was plotted by https://www.bioinformatics.com.cn (last accessed on 20 June 2024), an online platform for data analysis and visualization.
致谢章节：We thank Mingjie Chen (Shanghai NewCore Biotechnology Co., Ltd.) for providing data analysis and visualization support.