Software

Python tool to infer gene dysregulation events for individual samples in comparison to a control condition from gene expression data.

Python tool to quantify tissue heterogeneity based on spatial omics data.

Web tool for interactive exploration of putative epistatic interactions in eight complex diseases (late-onset Alzheimer's disease, bipolar disorder, coronary artery disease, hypertension, type-1 diabetes, type-2 diabetes, rheumatoid arthritis, inflammatory bowel disease).

Command line tool for network-based epistasis detection in complex diseases.

Plugin to turn your tool that outputs a list of genes or proteins into a feature rich, drug repurposing web tool with interactive network visualization.

BoostDiff is a Python tool to infer differential gene regulatory networks from gene expression data.

Our Python test suite confinspect allows to assess the effect of demographic confounders such as sex and age on methods for inferring gene regulatory and gene co-expression networks.

GraphSimViz is a web service for quantification of biases phenotype-based disease definitions introduce in disease association data.

CorrNet is a Python package for the analysis of historical correspondence networks.

TF-Prioritizer is an automated pipeline that prioritizes condition-specific transcription factors from multimodal data and generates an interactive web report.  It accepts ATAC, DNase, or ChIP sequencing and RNA sequencing data as input and identifies TFs with differential activity