Welcome!

The Genome Informatics group is headed by Prof. Sven Rahmann. It is part of the Faculty of Medicine of the University of Duisburg-Essen and located at the University Hospital Essen. Research and teaching are carried out in close cooperation with the chair for Algorithm Engineering (LS XI) of the Faculty of Computer Science at TU Dortmund.

Welcome!

The Genome Informatics group is headed by Prof. Sven Rahmann. It is part of the Faculty of Medicine of the University of Duisburg-Essen and located at the University Hospital Essen. Research and teaching are carried out in close cooperation with the chair for Algorithm Engineering (LS XI) of the Faculty of Computer Science at TU Dortmund.


Recent News

29 May 2020 | New preprint and software "ting" for TCR repertoire clustering

Our preprint “Rapid T cell receptor interaction grouping with ting” is online. Clustering of antigen-specific T cell receptor repertoire (TCRR) sequences remains challenging. While established tools like gliph aim to solve this problem they suffer from serveral shortcommings, including bad performance on huge repertoires, non-determinism, potential loss of significant antigen-specific or inclusion of too many unspecific sequences. “ting” solves these issues by applying an efficient algorithm for identifying antigen-specific k-mers based on Fisher’s Exact Test. This allows fast processing of large scale repertoires and an improved differentiation between naive and specific TCR3b sequences.

The full paper has been submitted for review.


16 May 2020 | New preprint and software "xengsort" for xenograft sorting

Finally, our preprint “Fast lightweight accurate xenograft sorting” is online. Xenograft sorting classifies the (paired-end or single-end) reads of a xenograft sample according to species of origin. A typical application concnerns sequenced samples from patient-derived xenografts (PDX; tumors extracted from human patients and implanted into mice), where the reads have to be classified into human reads and mouse reads (and, possibly, reads that could originate from both species, reads from neither species, and ambiguous reads). We have developed an alignment-free approach based on 3-way bucketed Cuckoo hashing. Our tool “xengsort” is faster by a factor of 4 than existing alignment-free tools on typical PDX datasets.

A poster about this work will be presented at ISMB HiTSeq. The full paper has been submitted for review.


21 Apr 2020 | Fused lasso paper accepted at SEA 2020

Elias’ and Sven’s paper “Engineering Fused Lasso Solvers on Trees” was accepted at the 18th Symposium on Experimental Algorithms (SEA 2020), which will be held as an online conference from June 16 till June 18. Our paper presents two practically efficient algorithms for solving fused lasso problems on tree graphs with general weights for nodes and edges, even zero weights, which other algorithms cannot easily handle.

We hope to see you at SEA’20 for our presentation. Also, the TreeLas software is avaliable on our Software page.


20 Apr 2020 | Online-Lehre und Prüfungen ab 20.04.2020

Aufgrund der Beschlüsse der Landesregierung NRW und der einzelnen Universitäten in NRW findet ab 20.04. online-Lehre statt. Das betrifft insbesondere “Algorithmen auf Sequenzen” von Prof. Rahmann und die Vorbesprechung zum Seminar “Aktuelle Themen der Bioinformatik”. Ferner werden ausstehende Prüfungen (z.B. zu “Algorithmische Bioinformatik”) online durchgeführt.


06 Mar 2020 | Genome Informatics presenting at SIGOPT 2020

Two researchers from the Genome Informatics group attended the SIGOPT 2020 meeting in Dortmund and presented their work on continous and combinatorial optimization problems in bioinformatics.

Elias presented his fast solver for the fused lasso problem on tree graphs (joint work with Sven).

Jens gave a talk about joint work with Henning and Sven, titled “Cost-optimal assignment of elements in genome-scale multi-way bucketed Cuckoo hash tables”.

The bioinformatics session on Friday further included talks by David Blumenthal (Munich) on median graphs and by Sven Schrinner (Düsseldorf) on polyploid phasing.


04 Feb 2020 | Genome Informatics presenting at DSB 2020

Researchers from the Genome Informatics group attended the Data Structures in Bioinformatics (DSB 2020) in Rennes and presented their work.

Jens Zentgraf gave a talk about joint work with Henning Timm and Sven Rahmann, titled “Cost-optimal assignment of elements in genome-scale multi-way bucketed Cuckoo hash tables”.

Sven Rahmann presented joint work with Jens Zentgraf on “Faster xenograft sorting with 3-way bucketed Cuckoo hash tables”.

Even though it was raining in Rennes and Air France wasn’t able to fly from Düsseldorf to Rennes in under 9 hours, the meeting was a lot of fun and showcased many interesting new results.


01 Dec 2019 | Dr. Fabian Kilpert from Lübeck joins the group

Dr. Fabian Kilpert is joining the Genome Informatics group in December 2019. Together with the new director of the Institute of Human Genetics, he is coming to Essen from Lübeck in Schleswig-Holstein, where he previously worked at the Institute of Neurogenetics. Welcome, Fabian!


19 Nov 2019 | Annual meeting of INCEPTION program at Institut Pasteur, Paris

The third annual meeting of the INCEPTION program took place at Institut Pasteur in Paris on November 18 and 19. A distinguishing feature of this program is the tight collaboration between the life sciences and social sciences. As a member of the scientific advisory board, Sven gave a talk about “reproducible genome-wide k-mer association studies”.


08 Oct 2019 | Paper accepted at ALENEX 2020

Our paper “Cost-optimal assignment of elements in genome-scale multi-way bucketed Cuckoo hash tables” by Jens, Henning and Sven was accepted at ALENEX 2020, taking place January 5-6, 2020 at Salt Lake City, Utah, USA. Jens will present it; you can meet us there.


07 Oct 2019 | Winter semester 2019/20 has started

In the winter semester 2019/20, the Genome Informatics group offers the Master specialization course “Algorithmic Bioinformatics” at TU Dortmund.


02 Oct 2019 | Bianca presents her paper on protein complex similarity at SISAP

Bianca Stöcker presents her work Protein Complex Similarity Based on Weisfeiler-Lehman Labeling at the “Similarity Search and Applications” (SISAP) conference at Newark, New Jersey, USA.

Protein complexes consist of several protein chains. The similarity between two complexes can be measured by comparing the sets or multisets of their protein chains, but it is conceivable that two complexes consist of the same (multi)set of chains, but has a different topology, i.e. different physical interactions between the chains. This should be reflected in the similarity measure. Our work defines such a similarity measure that incorporates topological information but is almost as efficiently computable than set-based measures.

This publication resulted from a collaboration within the DFG-funded Collaborative Research Center SFB 876 between members of projects A6 (Resource-efficient graph mining) and C1 (Feature selection in high dimensional data for risk prognosis in oncology). This work is also part of our long-running project on protein hypernetworks and constraints between protein interactions.


01 Oct 2019 | Prof. Frank Kaiser is the new director of the Institute of Human Genetics

As of today, Prof. Dr. Frank Kaiser is the new director of the Insititute of Human Genetics at the University of Duisburg-Essen. Welcome, Frank! We look forward to many exciting new collaborations. The former director, Prof. Dr. Bernhard Horsthemke, will continue to work as a senior professor at the institute, and we are happy to continue our joint projects.


30 Sep 2019 | ZiF workshop on computational pan-genomics at Bielefeld University

At a computational pan-genomics workshop at the Center for Interdisciplinary Research (ZiF) at Bielefeld University, Sven presented joint work with Jens Quedenfeld on the analysis of min-hashing for variant tolerant read mapping. Genome Informatics alumnus Tobias Marschall gave a talk about “Rapid bit parallel sequence to graph alignment”. The workshop was organized by Jens Stoye and Alexander Schönhuth.


24 Sep 2019 | Friedmund Neumann Prize 2019 of the Schering Stiftung goes to Johannes Köster

The Schering Sitftung has awarded the Friedmund Neumann Prize 2019 to Johannes Köster. Congratulations, Johannes!

Image credits: Friedmund Neumann Prize 2019 of the Schering Stiftung. Award ceremony, 24.09.2019 in Berlin. Photo: Julia Zimmermann, © Schering Stiftung. Persons (left-to-right): Prof. Dr. Sven Rahmann (nominator), Dr. Johannes Köster (awardee), Prof. Dr. Dr. h. c. Stefan H. E. Kaufmann (chairman of the Foundation Concil).

There are more pictures from the award ceremony available at the Schering Stiftung website.


17 Sep 2019 | Genome Informatics at GCB 2019

Several researchers from the Genome Informatics group attended the German Conference on Bioinformatics (GCB) 2019 in Heidelberg and presented their work:

  • Jan Forster: Phase-aware Neoantigen Prediction from Whole Exome and RNA Sequencing Data
  • Till Hartmann: Efficient algorithms for decoding whole-transcriptome MERFISH experiments
  • Sven Rahmann: Comprehensive analysis of allele-specific methylation in amplicons with amplikyzer2
  • Bianca Stöcker: Protein Complex Similarity Based on Weisfeiler-Lehman Labeling
  • Jens Zentgraf: Cost-optimal assignment of elements in genome-scale multi-way bucketed Cuckoo hash tables

16 Sep 2019 | Tutorial on k-mer hashing at GCB 2019

Jens Zentgraf and Sven Rahmann gave a tutorial on foundations of alignment-free sequence analysis: k-mer hashing at the German Conference on Bioinformatics (GCB) 2019 in Heidelberg.

Over 20 participants attended the tutorial. It was a lot of fun; we may do it again soon.


01 Jan 2019 | DFG funds third phase of Collaborative Research Center SFB 876

The Deutsche Forschungsgemeinschaft (DFG) funds the Collaborative Research Center SFB 876 “Providing Information by Resource-Constrained Data Analysis” for additional four years (2019, 2020, 2021, 2022). The Chair of Genome Informatics, in particular Till Hartmann and Sven Rahmann, will contribute towards project C1 (“Feature selection in high dimensional data for risk prognosis in oncology”) and work on efficient methods for dimensionality reduction and resource-efficicent analysis methods for nanopore sequencing data.