Danko lab website

A deep learning approach to predicting transcription initiation from sequence at single nucleotide resolution

A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression

Scripts and notebooks to reproduce figures used in the CLIPNET paper

Detecting Regulatory Elements using GRO-seq and PRO-seq

Fine tuning CLIPNET models to predict K562 PRO-cap and PRO-seq profiles

Use the patterns (shapes) within PRO-seq signal to call transcription element annotations

Preprocesses and Aligns Run-On Sequencing (PRO/GRO/ChRO-seq) data from Single-Read or Paired-End Illumina Sequencing