|GraphProt is a computational framework for learning sequence- and structure-binding preferences of |
RNA-binding proteins (RBPs) from high-throughput experimental data such as CLIP-seq data.
After model training, the learned sequence or structure models can be applied to predict RBP binding
profiles on FASTA sequences.
hg clone https://toolshed.g2.bx.psu.edu/repos/rnateam/graphprot_predict_profile
|Name||Description||Version||Minimum Galaxy Version|
|- Train models and predict RBP binding profiles||1.1.7+galaxy1||16.01|