Tutorial

EASY 4 steps

Step 1: Get inspired

If you already know the gene of interest, please skip to Step 2.

If you don’t, we analyzed glycogenes in OncoDB.Glycogene via DAVID funcitonal annotation and summarized in treemap format with GO terms aside. Key terms, i.e. transferase activity or virus receptor are annotated for inspiration.

Step 2: Use filter

1. Case-insensitive search by typing gene symbol, Entrez ID or any keywords.
   
2. Sort and choose by the p-value of DAVID analysis.
3. Click the gene symbol/Entrez ID.

Step 3: One gene, multi-cancers

Here we integrate TCGA cancer data with queried gene in various display, including multiple-omics (somatic copy nubmer, gene expression, methylation), clinical information (hazard ratio), pathway network and PubMed literature evidences related to query gene.

Step 4: One gene, one cancer

Besides overview, we also provide query gene’s potential influence on individual cancer type. Detail information in term of the subtype and corrsponding omics are given. Furthermore, Kaplan-Meier survival curve will also address the relationship between such gene and clinical outcome.