A Note on KEGG (Kyoto Encyclopedia of Genes and Genomes):
KEGG is a suite of databases and associated software, integrating our current knowledge on molecular interaction networks in biological processes (PATHWAY database), the information about the universe of genes and proteins (GENES/SSDB/KO databases), and the information about the universe of chemical compounds and reactions (COMPOUND/REACTION databases). For more information see: KEGG: Kyoto Encyclopedia of Genes and Genomes

A Note about how we make KEGG associations:
Enzyme Commision (EC) numbers are assigned to nematode EST contigs by primary sequence similarity. The EC numbers are then lit up in every pathway in which those enzymes are represented. We do not provide exhaustive curation, therefore proper interpretation requires the users' cognizance of the metabolic pathways.

Sequences used for KEGG associations:
To eliminate data redundancy, ESTs are clustered by identity into contigs and further organized into clusters. ESTs within a contig derive from nearly identical transcripts whereas contigs within a cluster may represent splice isoforms of a gene or transcripts from multigene families with extremely high sequence identity (Mitreva et al, 2004). The KEGG associations are done on the contig level. For summarizing the associations on cluster level use the contig-cluster membership files available here.

More information on EST clustering:
For more information regarding our EST clustering process, please view the NemaGene clustering FAQ.