Read before use
1, check data with precheck (windows version) tools
2, data from excel, copy and paste data into the input frame
3, data from txt, must tab-seperated, copy and paste data into the input frame
4, specieal and non-English characters such as #, <, >, %, (, ), α are not friendly
5, use point as decimal separator, not comma. e.g. 3.14, not 3,14 as pi
Required

Optional
Figure size
figure width:
figure height:

Fontsize
title fontsize:
legend title fontsize:
ticks fontsize:
axis label fontsize:

Names and labels
title name:
X axis label:
Y axis label:
color label (-log10() is auto-added):
count label:
category label:

Point size range
Min point size:
Max point size:

Colors
lower color:
higher color:

Order





Fontfamily


multi-group GO, Pathway enrichment bubble plot

Introduction
Bubble plot is generally used in GO, KEGG pathway enrichment analysis, in which p values are represented by colors, gene counts are represented by bubble size. Please use GO, Pathway Enrichment Analysis or metascape to get the enrichment results, and then plot.
Input data instructions
Input data contain 5 columns: the first column is categories, such as BP, CC, MF;
the second column is GO or KEGG Pathway term (display in Y axis);
the third column is enrichment (display in X, if no, replace by others, such as gene ratio, -log10(p), count;
the fourth column is p (or FDR, data range 0-1), represents colors;
the fifth colunn is gene count (size of bubble).
Examples from papers
Gene expression profiling and functional analysis reveals that p53 pathway-related gene expression is highly activated in cancer cells treated by cold atmospheric plasma-activated medium Fig 4
Input Example
Output

1) How to plot?
1, Put data in excel according to the example format.
2, Copy and paste into input frame.
3, Input pre-checking button to check input
4, After checking pass, select parameters, submit and download

2) How to cite?
3000+ papers in (Google Scholar)
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.

3) FAQs