TargetSpy
Target Prediction
TargetSpy, a novel computational approach for predicting target sites regardless of the presence of a seed match. It is based on machine learning and automatic feature selection using a wide spectrum of compositional, structural, and base pairing features covering current biological knowledge. It does not rely on evolutionary conservation, which allows the detection of species-specific interactions and makes TargetSpy suitable for analyzing unconserved genomic sequences.
Homepage: Link
Last Software Update: May 28, 2010
Publication Date: May 28, 2010
Citations: 76 [via Pubmed]
Organism Specific:
Reference Genome Needed:
Online/Local:
/
Installation/User Level: easy
User Adjustability:
(very small)
User support:
Precomputed Target Results Available For Download:
Performance : Accuracy: 34.2%
Cross-Refferences: