ThermoNet is a computational framework for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep…
MUltiScale enrIchment Calling for ChIP-Seq Datasets
ALOFT, the Annotation Of Loss-of-Function Transcripts, provides extensive functional annotations to loss-of-function variants in the human genome.
Forked from rkitchen/exceRpt
Software for preprocessing, filtering, alignment, and reporting of smallRNA-seq datasets
Prediction of Active Enhancers and Promoters in a Cell type specific manner using shape matching of histone and/or DNase-I hypersensitivity profiles
Optimizing Cancer Mutation Signatures Jointly with Sampling Likelihood
Privacy Leakage through Inference across Genotypic HMM Trajectories
STARRPeaker: STARR-seq peak caller
This project applies dimensionality reduction to tabular data and generates applications for visualizing the results.
A clustering algorithm that can perform internal validation inspired by forest fire dynamics and self-organized criticality