16th Current Topics in Bioinformatics: (Deep) Learning from -OMICS Data?
With the increase of OMICS techniques a huge amount of molecular data are generated in modern biomedical research. In combination with medical images and clinical data, the field of omics revolutionized the implementation of personalized medicine. The related biomedical and OMICS datasets are complex and heterogeneous. To get out the relevant and meaningful knowledge from this vast amount of information is one of the most important challenge for bioinformatics and machine learning researchers. This rises the interest and strenghend the potential of deep learning methods to create predictive models and to identify complex patterns from these large datasets.
This year the conference 16th Current Topics of Bioinfomatics deals with deep learning techniques and the significance of OMICS data. We raises the questions what we can learn from OMICS data and how do we handle the huge datasets and what does that mean for future medicine.
Call for pitches
Are you working in the field of bioinfomatics and want to present your R&D in a 2 min pitch during this conference?
If you are interested please write an email to jasmin.podufall@berlin-partner.de with the topic or focus of your talk until May 25th.
Agenda
Chair: Bertram Weiss, Bayer AG, Berlin & Prof. Uwe Ohler, Max-Delbrück-Centrum, Berlin
2:00 p.m. Welcome Address Steering Committee
Prof. Martin Vingron, Max Planck Institute for Molecular Genetics, Berlin
Welcome Address Cluster HealthCapital
Dr. Jasmin Podufall, Berlin Partner for Business and Technology
2:10 p.m. Key Note
Prof. Roland Eils, Berlin Institute of Health, Berlin
Deep Learning from -OMICS Data
2:45 p.m. Djork-Arné Clevert, Bayer AG
Analysis of Omics Data with Rectified Factor Networks
3:15 p.m. Anya Roy, Illumina Accelerator UK
Illumina for Startups –Startup creation and growing the genomics ecosystem
3:20 p.m. Prof. Alina Nechyporenko, Technical University of Applied Sciences, Wildau &
Kharkiv National University of Radio Electronics, Kharkiv, Ukraine
Machine learning-based Photoplethysmography signal analysis
3:25 p.m. Pitches
3 min each
Vic-Fabienne Schumann, Max-Delbrück-Centrum, Berlin
Tracking and Monitoring Variants of SARS-CoV-2 from Wasterwater in Berlin
Tom Altenburg, Hasso-Plattner-Institut Potsdam
Applied Deep Learning in Mass Spectrometry-based Proteomics
3:35 p.m. Coffee Break
4:00 p.m. Pitches
3 min each
Yannek Nowatzky, Bundesanstalt für Materialforschung und -prüfung, Berlin
Spectral search engine based on ML-predictions
Dr. Wolfgang Kopp, Max-Delbrück-Centrum, Berlin
Simultaneous dimensionality reduction and batch correction for single-cell
ATAC-seq data using deep learning
Dr. Pooja Gupta, Universitätsklinikum Erlangen
Bioinformatics analysis of single cell RNA-sequencing data
4.15 p.m. Dr. Altuna Akalin, Max-Delbrück-Centrum, Berlin
4:30 p.m. Prof. Stefan Bonn, University Medical Center Hamburg-Eppendorf (UKE), Hamburg
Predict diseases using deep and machine learning approaches
4:50 p.m. Dr. Ralf Herwig, Max Planck Institute for Molecular Genetics, Berlin
Prediction of cancer patient survival with tree ensemble method
5:10 p.m. Panel Discussion „Career Models in Bioinformatics“
Dr. Ekaterina Nevedomskaya, Bayer AG
Joren Retel, Bayer AG, Berlin
Dr. Ashley Sanders, BIMSB/MDC, BIH, Charité
N.N.
Chaired by:
Prof. Martin Vingron, Max Planck Institute for Molecular Genetics, Berlin
5:40 p.m. Closing Remarks
Dr. Bertram Weiss, Bayer AG, Berlin
6:00 p.m. End of Event
For further information please contact Dr. Jasmin Podufall (jasmin.podufall@berlin-partner.de, +49 30 46302 122).
Steering Committee
Prof. Dr. Uwe Ohler, Max Delbrück Center for Molecular Medicine, Berlin
Prof. Dr. Martin Vingron, Max Planck Institute for Molecular Genetics, Berlin
Dr. Bertram Weiss, Bayer AG
About the event
“Current Topics in Bioinformatics” is an annual symposium bringing together the local actors in Bioinformatics from academia and industry in the Berlin-Brandenburg region. The series was founded in 2003 by the Max Planck Institute for Molecular Genetics (MPIMG) together with the Healthcare Industries Cluster from HealthCapital Berlin-Brandenburg. Since 2019, a Steering Committee including Bayer, the Max Planck Institute for Molecular Genetics, Berlin and the Max Delbrück Center for Molecular Medicine (MDC) has been established to further advance the series and establish it as the annual meeting of Bioinformaticians in the Berlin-Brandenburg region.
