SRplot - Free online GO,Pathway enrichment analysis

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
Note: 1) no more than 4000 lines
2) gene symbols are case-sensitive
3) pathways contain 500+ genes were not considered (clusterProfiler default)

Species
human, has (e.g. TP53, MAPK11)
mouse, mmu (e.g. Bcl2, Mapk11)
rat, rno (e.g. Tp53, Mapk11)
zebrafish, dre (e.g. tp53, mapk11)
pig, ssc (e.g. TP53, BCL2)
chicken, gga (e.g. TP53, MAPK11)
dog, cfa (e.g. TP53, MAPK11)
monkey, mcc (e.g. TP53, MAPK11)
cow, bta (e.g. TP53, MAPK11)

note: heavily cpu consumtion, freely only on (Beijing time 22:10-8:00)

This figure will consume 5 Points

GO, pathway Enrichment Analysis

Introduction
This module combined clusterProfiler and pathview. Find source codes in official website.
Input data instructions
Input gene list (symbol, logfc), no more than 4000 lines.
References
Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology. 2012, 16(5):284-287.
Luo W, Brouwer C. Pathview: an R/Biocondutor package for pathway-based data integration and visualization. Bioinformatics, 2013, 29(14):1830-1831, doi: 10.1093/bioinformatics/btt285

Input	Example
Output	Example results

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?
4000+ 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