Estimating RNA-RBPs binding using convolutional neural networks trained on oligo libraries
Inference of DNA-binding preferences from HT-SELEX data using deep neural networks
Degenerate codon design for complete protein-coding DNA libraries
Deep Learning for Predicting RNA SHAPE Reactivity Scores
Deep Learning for Predicting G-quadruplexes
Deep Learning for Protein-RNA binding
Covering All K-mErs using Joker characters
Design Of Compact universal K-mer hitting Sets
SELEX affinity landscape MAPping of transcription factor binding
RCK - RNAcontext K-mer - predicting protein-RNA interactions
CURLCAKE - Compact Universal RNA Libraries Covering All K-mErs