EnrichKit

It is essential to obtain proper interpretations of genomic signals derived in multi-omics studies.
EnrichKit provides several friendly interfaces to help with biologically interpreting genomics signals.

1. ID mapping
   Given a list of gene id of one type (any of ensembl gene id, entrez id, or gene symbol). Return the other two type of id.
   Also, return human orthologous genes ids (all of ensembl gene id, entrez id, or gene symbol).


2. Coordinates association
   Given a list of genome coordinates-based signals, try to associate each of them with a proximal gene feature appearing in the genome annotation file.


3. P-value Aggregation
   Aggregate a list of nucleotide-level P-values to a list of proximal genes.


4. Over-representation analysis
   Given a set of interesting genes (significant genes and total genes), perform functional characterizations over biological pathway databases.


5. Gene Set Enrichment Analysis (GSEA)
   Given a set of interesting genes with P-values, perform functional characterizations over popular databases.


6. Transcription Factor Enrichment Analysis
   Given a set of interesting genes (significant genes and total genes), perform functional characterizations over TF-Target (regulation) databases.

This web app is specifically designed for major farm animal species.