References

Mao X., Cai T., Olyarchuk J.G. and Wei L. (2005) Automated Genome Annotation and Pathway Identification Using the KEGG Orthology (KO) As a Controlled Vocabulary, Bioinformatics, 21: 3787–3793 (Abstract; Full Text)

Wu, J., Mao, X., Cai, T., Luo, J., Wei, L. (2006) KOBAS server: a web-based platform for automated annotation and pathway identification. Nucleic Acids Res. 2006; 34:W720-W724. (Abstract; Full Text)

Run KOBAS

Annotate a set of sequences with KO terms. Given a set of nucleotide or protein sequences (FASTA format), KO terms are assigned based on sequence similarity to entries in KEGG GENES. This analysis may require several hours, depending on the number and length of sequences you submit. Given a list of sequence identifiers of popular databases, KO terms are assigned based on cross-database links in KEGG GENES.

Identify the frequently occurring or statistically significantly enriched pathways of the queried sequences against the background. The input is the output from KO annotation .

All user input and output are strictly confidential.  The results of guest users are kept on the server for 7 days, whereas for the registered users (free) the results are kept for 6 months.

Statement of Confidentiality

We acknowledge our responsibilities that any and all information provided by the User and which the User believes to be his/her own original creation shall not be disclosed to any third party without the prior written permission of the User and further, that we shall not utilize the same in any manner unless specifically agreed to in writing.