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…

The HINT team, which was formed by Eduardo Gusmao, Li Zhijian and Ivan G. Costa, obtained the third place in the conference round of the ENCODE DREAM Challengee . The challenge task was the prediction of transcription factor ChIP-Seq peaks. Our approach,…

Congrats to Eduardo on his conclusion to his Ph.D. in Computer Science! Eduardo has started his Posdoc in Shirley Liu’s Lab at Dana Farber Institute / Harvard School of Public Health.