Author: David Blumenthal

Our new web tool ROBUST-Web (https://robust-web.net/) for study-bias-aware disease module mining in PPI networks has been published in Bioinformatics.

Funded projects: Dimensionality reduction for molecular data based on explanatory power of differential regulatory networks

Funded projects: A Platform for Dynamic Exploration of the Cooperative Health Research in South Tyrol Study Data via Multi-Level Network Medicine

PD Dr. Katja Kobow, Prof. Dr. Andreas Baur, Prof. Dr. Stefan Krause

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

BIONETS lab goes digital history: In our paper "On the role of network topology in German-Jewish recommendation letter networks", we analyze the role of professional networks for emigration of German-Jewish academics from Nazi Germany.

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

Our paper "TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors" has just appeared in GigaScience. TF-Prioritizer accepts ATAC, DNase, or ChIP sequencing and RNA sequencing data as input and identifies transcription factors with differential activity.

In our paper "Lacking mechanistic disease definitions hamper progress in network medicine and beyond", we show that it can be problematic to uncritically use large-scale disease association databases for pathomechanism mining.

We are happy to announce that our paper "The edge-preservation similarity for comparing rooted, unordered, node-labeled trees" has just appeared in Pattern Recognition Letters.