Flowering Gene Prediction Model
Screen protein sequences for candidate genes associated with flowering regulation.
About this model
The flowering gene prediction service classifies FASTA protein sequences with support vector machine models derived from K-mer and pseudo-amino-acid-composition features. Predictions are intended to prioritize candidates for further functional annotation and validation.
- Input
- One or more protein sequences in FASTA format.
- Models
- SVM models using K-mer, PC-PseAAC, or their combined feature set.
- Output
- Sequence-level flowering-gene prediction results.
Flowering gene prediction workspace
The FTGDB2 analysis interface is embedded below.
This is a computational prediction service. Confirm candidate functions with independent annotation or experiments. If the interface does not load, use Open in new window.