Fragment size of ATAC-seq reads indicate local chromatin architecture. The Institute for Computational Genomics, RWTH Aachen University performs cutting edge research on computational and genomic methods for understanding regulatory and epigenetic processes driving cell differentiation and diseases (Gusmao, Nature Methods,…

The Institute for Computational Genomics, RWTH Aachen University performs cutting edge research on computational and genomic methods for understanding regulatory and epigenetic processes driving cell differentiation and diseases (Gusmao, Nature Methods, 2016, Li, Genome Biology, 2019). This project aims studying…

Collaborative work with Krenkel and Tacke dissect changes in immune cells of mice subjected to high fat / high sugar diets.

Our paper on HINT-ATAC  is finally out in Genome Biology!

A paper describing TDF- a framework for detection of triple helix forming RNAs  – is finally out in NAR! Moreover with Grummt Lab, we have performed computational analysis of TripleRNA-seq and TriplexDNA-seq; two novel protocols for returning DNA/RNA molecules forming…

We perform research on computational methods for analysis of epigenomics and transcriptomics data. Over the past years, we have developed methods for prediction of cell specific binding sites from open chromatin data (Gusmao et al., Bioinformatics, 2015; Nature Methods, 2016),…

Together with Kurian lab, we have delineated bionformatics framework to uncover novel antisense lncRNAs during cardiomyocite differentiation. These were particularly positioned up-stream of transcription factors, and showed a high positive correlation with these anti-sense partners.In this paper, Frank and colleagues…

A few successful collaborative efforts were recently published in top biomedical journals. With Zirkel and colleagues we used HINT footprint analysis to characterize transcription factor binding underlying DNA looping via HMGB2. With Sonntag and colleagues, we have leveraged molecular information…

The DFG has approved a “sachbeihilfe” project for the research on computational methods for analysis of open chromatin from single cell sequencing.

The Costa lab has participated in several collaborative works, which has been published in important journals in  the recent months. In Axelsson et al., Nature Communications, we have contributed on inference of gene expression based networks from type 2 diabetes patients. This…