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
Note: only for chromosome region (peaks) overlap, i.e. chr start end
For genelist, please visit Jvenn
Required
dataset 1
dataset 1 name:
dataset 1 color:
dataset 1:


dataset 2
dataset 2 name:
dataset 2 color:
dataset 2:

Optional
dataset 3
dataset 3 name:
dataset 3 color:
dataset 3:


dataset 4
dataset 4 name:
dataset 4 color:
dataset 4:


dataset 5
dataset 5 name:
dataset 5 color:
dataset 5:


dataset 6
dataset 6 name:
dataset 6 color:
dataset 6:


font size:


Strand (if consider strand, must be bed6 format)
yes no

Genomic regions (peaks) overlap venn diagram

Introduction
Using venn diagram to show the overlapped genomic numbers. Please contact us for more than 6 datasets.
Input data instructions
If ignore strand, input data must contain 3 columns (bed3 format): chromsome, start, end
If consider strand, input data must contain 6 columns (bed6 format): chromosome, start, end, name, value, strand
Output contains sets results. For example, if a.bed and b.bed to overlap, then a.bed specific is 10_a.bed. b.bed specific is 01_b.bed. Overlap is 11_a_b.bed. Since it exists many-to-many results, the number in venn often not the same to the original bed lines.
Paper example
Intervene: a tool for intersection and visualization of multiple gene or genomic region sets Fig 2A.
Input 
chr1	30	50
chr2	30	50
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