RescueNet is a new method of analysing codon usage
variation. Based on the Self-Organizing Map neural network algorithm,
RescueNet allows the user to:
- Identify clusters of genes that have similar codon usage patterns
- Identify genes displaying atypical codon usage patterns.
- Analyse a contiguous genomic sequence for areas displaying
similar codon usage patterns to the major patterns found in
a training set.
RescueNet is now available for download.
The current release is version 0.9 (February 2003). This is still
a beta release of the software, so please report
any bugs that you find, or suggestions for additional functionality.
The User Manual is recommended
for the new user. Examples are also given on how to use RescueNet
for genome annotation and for codon usage trend analysis.
All feedback is welcome. Please email firstname.lastname@example.org.