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操作说明
相关性桑基图
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相关性桑基图
操作说明

a)登录TUTU云平台(https://www.cloudtutu.com/#/login),点击登录;

b)默认账号密码已填好,输入验证码即可登录;

c)找到“相关性桑基图”进入作图界面。


1.说明

桑基图即桑基能量分流图,用来展示数据的“流动”变化,分支的宽度表示流量的大小,应用于能量流向等数据的可视化。桑基图主要由边、流量和支点组成,其中边代表了流动的数据,流量代表了流动数据的具体数值,节点代表了不同分类。边的宽度与流量成比例的显示,边越宽,数值越大。

相关性桑基图属于桑基图的一种,在交互式的网页中,红色和蓝色连线分别表示正负相关,连线宽度和相关性强度成正比,节点按预定于的环境属性分类赋值颜色,鼠标停留位置可以在图中显示节点/连线的属性信息,并可以从图中拖动调整节点位置。

应用举例:

There was a large degree of mismatch between farmer reports and DNA fngerprinting results, with only 28% of farmers (n=989 out of 3543 samples identifed using DNA fngerprinting) able to provide a name for the variety they have grown that exactly matched the corre_x0002_sponding DNA result from the same plot. Mismatches for eight widely grown varieties are illustrated in Fig. 2. Ambiguity was also much higher using farmer recall with 49% (1917 out of 3880 farmer reports) classed as “unimproved/local”, “improved” or “unknown”—i.e. not assigned to any known variety. A large proportion of the farmer reports were either “local” or “unimproved” (n=1233; 32% of reports), but DNA results generally did not support this farmer classifcation. Based on DNA data, the majority of these farmers were actually grow_x0002_ing released improved varieties, albeit of varying age post release. Te bulk of unidentifed samples from DNA fngerprinting (4% of 3771 genotyped samples) were actually Triticale and not wheat. Te DNA fngerprinting could thus potentially be made even more accurate by expanding the reference library, possibly including wheat related species such as Triticale where relevant.


Figure 2. Sankey diagram illustrating the relationship between widely grown wheat varieties identified by DNA fingerprinting (left) and corresponding wheat variety names given by farmers (right) for the same plot. Box height indicates the percentage of total varieties, while lines illustrate the relationship [created by MJ using R 4.0.2 https://www.r-graph-gallery.com/sankey-diagram.html]. 参考文献:Ethiopia’s transforming wheat landscape: tracking variety use through DNA fingerprinting. (Figure 2)



2.上传文件

※目前平台仅支持.txt(制表符分隔)文本文件或者.csv文件的文件上传。(平台可对不规范的数据格式进行部分处理,但还是请您尽量按照示例数据的格式调整数据,以便机器可以识别)

a)准备一个数据矩阵(形式参照示例数据);

b)表格需要带表头和列名,每一列为各种指标数据名,每一行为样本名;

c)请提交txt(制表符分隔)文本文件或者.csv文件。操作方法为:全选excel中的所有内容(ctrl+A),复制到记事本中,将记事本文件另存后点击“上传”按钮上传该文件。


2.参数设置

2.1 在界面右侧编辑分组信息:需要对各指标进行分组,本网站支持在线修改分组名称的功能。

     有在线输入(方式一)和手动粘贴(方式二)两种方式。(绘图前必须检查分组名称)

2.2 方法选择:本平台提供spearman、pearson两种方法选择


3.网页预览

点击“运行”开始作图,出图后可选择“网页预览”的方式进行在线查看。预览小工具使用方法如下:

4.下载文件

图片确认无误后可点击“下载”保存压缩包查看网页版文件。


5.写作建议

XXXX was performed on Tutools platform (https://www.cloudtutu.com), a free online data analysis website.







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