funcExplorer

Home
About
Data upload
Contact

funcExplorer is a public web tool for clustering and interpreting gene expression data.

The tool is designed to extract the most significant biological features of a dataset that a user can choose from our publicly available data selection or upload him/herself.

Explore the examples of GTEx, breast cancer, Arabidopsis thaliana protoplasts, yeast transcriptome profiles that we have used as examples in our publication (PDF).

NOTE: You are in the user page!

We keep the results by default for 365 days, but on request we are able to keep the data for extended period of time.

News

2018-11-14 -- funcExplorer article was published in BMC Genomics.

2018-07-03 -- Included sample annotation upload for users.

2018-05-18 -- Zooming options were added to funcExplorer output.

Select dataset

Dataset

g:Profiler version

Distance measure

Multiple testing correction method

Select tree parameters

Strategy

Display sparse clusters

Yes No

Minimum cluster size min: 5, max: 1000

Maximum cluster size min: 5, max: 1000

Additional threshold for p-value p-value (double) number, e.g. 0.05 or 1.0E-8

Threshold for minimum term size e.g. 2 genes

Threshold for maximum term size e.g. 700 genes

Term types

Select all

GO: Biological Process

GO: Cellular Component

GO: Molecular Function

KEGG

REACTOME

TRANSFAC

miRNA

CORUM

Human Phenotype Ontology

Human Protein Atlas

Sparse cluster

Cluster id:
Size:
Score:

Cluster id:
Cluster score:
Size:
Contains 0 unique annotations.


Domain	#	Name	Description	P-value
BP
CC
MF
keg
rea
tf
mi
cor
hp
hpa

* # stands for the number of significant annotations by domain in this cluster
U stands for unique annotation (term that is present in only one dense cluster of the dataset)

Gene ID:
Sample:
Value:

Sample:
Annotation Value:

Click to zoom-in to cluster with ID