Network

Enrichment Analysis

Input:

Genes

OMIM (Genes/Diseases)

Orphan Diseases

Phenotype

Write a list of genes i.e. GBA, OTC or 2629, 5009 :

Example 1 Genes

Example 2 OMIM disease

Example 3 Orphan disease

Example 4 Phenotypes

Output Network:

Gene-Gene Semantic Similarity from HPO
Gene-Gene Semantic Similarity from GO Biological Process
Gene-Gene Semantic Similarity from GO Celular Component
Gene-Gene Semantic Similarity from GO Molecular Function
Gene-Gene Inferred from Orphanet
Gene-Gene Inferred from OMIM
Gene-Gene Known Protein-Protein Interactions from STRING
Gene-Gene Known Metabolic Interactions (Veeramani et al.)
OMIM-OMIM Semantic Similarity from HPO
ORPHA-ORPHA Semantic Similarity from HPO
Gene-OMIM Known OMIM Relationships
Gene-OMIM Semantic Similarity from HPO
Gene-ORPHA Known from Orphanet
Gene-ORPHA Semantic Similarity from HPO

Confidence:

Low
Medium
High

	PhenUMA is a web tool to generate and analyse integrative networks from a list of genes, diseases or phenotypes.
	Visit Quick start in Help section for further information about how to execute queries in PhenUMA or contact us: phenuma@uma.es
	Try some examples
	The dabatase is updated each three months

Phenotypic and Functional Networks

Networks built using the clinical and functional features associated with genes and diseases. Integration of different types of networks in the same network to allow study phenotypic relationships in a biomolecular context.

Phenotypic and Functional Enrichment

Most significative phenotypes or GO terms of a node or groups of nodes can be obtained. PhenUMA includes the possibility of evaluate the enrichment of terms from a selection of genes or diseases.

Networks Visualization

PhenUMA provides a network visualizer that allow work with the resulting networks: apply filters, layouts and explore the information related with the nodes and edges.