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
right data:

left data:


Optional
Figure size
figure width:
figure height:

Colors
right color:
left color:

Fontsize
ticks fontsize:
X label fontsize:
Y term fontsize :

Others
distance of labelled text to Y axis:
X axis label

Transform


Fontfamily


left right bidirectional bar plot

Introduction
This figure was used to show binary data, such as up, down KEGG pathway enrichment results.
Input data instructions
Two input data sets, each with two columns: the first column is name, and the second column is value. Values on the right are positive, and values on the left are positive too
Examples from papers
KEGG pathway enrichment results.

Right input
pathway	pvalue
HIF-1 signaling pathway	4.71868E-07
PI3K-Akt signaling pathway	0.0003725
Glycolysis / Gluconeogenesis	0.000849109
Insulin resistance	0.002150607
FoxO signaling pathway	0.01347178
Insulin signaling pathway	0.03787553
ErbB signaling pathway	0.04519473
Left input
pathway	pvalue
Fatty acid biosynthesis	0.0467958
Dopaminergic synapse	0.04350386
Linoleic acid metabolism	0.03474885
Endocrine and other factor	0.01163136
Insulin secretion	0.01048817
Calcium signaling pathway	3.80E-06
Protein digestion and absorption	1.16E-08
Output

1) How to plot?
1, Prepare data
2, Open with excel, and change into the same format as the example
3, Copy and paste data into the input frame
4, Select parameters
5, Submit and download figure files

2) Why NO figure generated?
Script need strigent input format, please read the instructions and examples carefully.

3) How to cite?
2000+ 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.

4) FAQs