TransfoRNA: Navigating the Uncertainties of Small RNA Annotation with an Adaptive Machine Learning Strategy
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Updated
Jul 29, 2024 - Python
TransfoRNA: Navigating the Uncertainties of Small RNA Annotation with an Adaptive Machine Learning Strategy
Pipeline to carry out tasks common in the Hunt Lab on small RNA data
A novel bioinformatics strategy to predict and annotate small RNAs-target interactions, featuring RNAhybrid p-values and a dedicated statistical calibration.
small RNA library processing and analysis
sTarML: A Sequence-Based Machine Learning Framework for Predicting Bacterial sRNA–mRNA Interactions
Computational framework for discovery and classification of phased small RNA loci in plants.
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