Dataset formats

The input and output datasets are in tabular format. The input dataset must have columns with KEGG gene ID and pathways. The output dataset is described below. (Dataset missing?)

What it does

This tool produces an image of a KEGG pathway, highlighting (in red) the modules representing genes in the input dataset. Click here for help with reading the pathway map.

NOTE: a given gene can be assigned to multiple modules, and different genes can be assigned to the same module.

Example

• input:

  476153  probably damaging       cfa00230=Purine metabolism.cfa00500=Starch and sucrose metabolism.cfa00740=Riboflavin metabolism.cfa00760=Nicotinate and nicotinamide metabolism.cfa00770=Pantothenate and CoA biosynthesis.cfa01100=Metabolic pathways
  483960  probably damaging       N
  610160  possibly damaging       N
  403657  benign  cfa04010=MAPK signaling pathway.cfa04012=ErbB signaling pathway.cfa04060=Cytokine-cytokine receptor interaction.cfa04144=Endocytosis.cfa04510=Focal adhesion.cfa04540=Gap junction.cfa04810=Regulation of actin cytoskeleton.cfa05160=Hepatitis C.cfa05200=Pathways in cancer.cfa05212=Pancreatic cancer.cfa05213=Endometrial cancer.cfa05214=Glioma.cfa05215=Prostate cancer.cfa05218=Melanoma.cfa05219=Bladder cancer.cfa05223=Non-small cell lung cancer
  etc.
  

output showing pathway cfa05214: