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Contributions to Pathway Tools
We solicit contributions of new
functionality to Pathway Tools. This is by no means an exclusive
list, but rather a set of ideas for what might be contributed.
Contributions can be integrated directly into the Pathway Tools build
at SRI, or can be distributed separately by their authors for loading
into Pathway Tools. Pathway Tools source code is available.
Interested? Contact .
- Interface bioinformatics prediction algorithms to Pathway Tools so that predictions
made by these tools can be integrated into a PGDB. Example
predictors could include predictors of protein cellular location, or of
regulatory elements.
- Contribute new comparative capabilities to Pathway Tools.
- Contribute metabolic engineering capabilities to Pathway Tools.
Past Contributors
We gratefully acknowledge the following contributions:
- Development of the
PerlCyc Perl API to Pathway Tools by Lukas Mueller of Boyce Thompson Institute
- Development of the JavaCyc
Java API to Pathway Tools by the TAIR project
- Development of the RCyc
API for the R Project by Tomer Altman of Stanford University
- Development of the SBML output module by Jeremy Zucker of the Broad Institute
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