SiteMap
Comparative genomics : tremapath

 News
[Apr.21.2021]   
New job listing! (click for details)

[Jan.24.2019]   
Amazon awards research credit to support Helminth.net!

[July.10.2018]   
Trematode.net is now hosted on Amazon!





TremaPath KEGG Associations - A comparative tool for trematode enzymatic pathway analysis


Species-specific TremaPath comparisons - View pathway composition of a single species, or compare 2 species



How to use this resource

TremaPath provides information about the presence, absence and composition of enzymatic pathways in given organisms based on actual transcript data and allows for the comparison of any two organisms represented in the database. This is useful in many ways, from identifying potential drug targets to helping understand the differences between species utilizing different survival strategies. The ability to directly compare any two species in the database provides a direct visualization of enzymatic differences between the two.

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

KEGG Orthology (KO) numbers are assigned to trematode transcripts by primary sequence similarity. The KO numbers are then lit up in every pathway in which they are represented. We do not provide exhaustive curation, therefore proper interpretation requires the users' cognizance of the various pathways.

Publication Link

NemaPath: online exploration of KEGG-based metabolic pathways for nematodes,Todd Wylie, John Martin, Sahar Abubucker, Yong Yin, David Messina, Zhengyuan Wang, James P McCarter, and Makedonka Mitreva, BMC Genomics 2008; 9: 525.




 
  Trematode.net v1.0(AWS)     Copyright Statement
  User support forum  Trematode.net User Support
Webmaster                     jmartin@wustl.edu
The Genome Institute Washington University School of Medicine