Click on the brain region you're interested in, after which you'll be able to view gene expression in that region.

This brain model is from Society for Neuroscience (2017) .

This interactive web-based application encapsulates the clusterProfiler package in R.

Users can upload Differential Gene Expression (DGE) data analysed by DESeq2, limma, GEO2R or differential gene data provided by the sequencing company.

Visuals produced include dot plots, wordclouds, category net plots, enrichment map plots, GO induced graphs, and enriched KEGG pathway plots using the Pathview package.

Importantly, user can modify the drawing parameters to meet your aesthetic and publishing requirements.

1.Click on the example file or upload your own differential gene expression data

2.Select the relevant column data

3.Select the name of the species analysed

4.Click the create enrich object button

This step of the R analysis is expected to take 60-70 seconds

5.After that, you can see the following result graphs, including tabular results, bar graphs, bubble graphs, and upsets for Go enrichment analysis and tabular results, bar graphs, bubble graphs, and upsets for KEGG enrichment analysis, Metabolic Pathway graphs, Volcano graphs, and Word cloud graphs.

6.You can modify the drawing parameters at will in the left menu bar to meet your aesthetic and publishing requirements, after which you can save the image by right clicking on it!

On the BBB-Prediction Tool page, you can upload the SMILE structure of the component for prediction of blood brain barrier permeability prediction