Dual Threshold Optimization compares two ranked lists of features (e.g. genes) to determine the rank threshold for each list that minimizes the hypergeometric p-value of the overlap of features. It then calculates a permutation based empirical p-value and an FDR

A development environment to explore implementations of deep neural networks for predicting the relationship between transcription factor and target genes using binding and perturbation data

network evaluation package

Shiny front end to yeastCallingCardsDB

A variant calling workflow suitable for both checking genotypes and processing data for BSA experiments

Gene Regulatory Network Evaluation Using Gene Ontology

Trace Recalling is a novel method for deconvoluting double traces that result from simultaneously sequencing two DNA templates. Trace Recalling identifies up to two bases at each position of such a trace.

A Django managed shiny app for storing and visualizing Yeast Calling Cards data

Documentation for all organisms with active databases