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An Interpretable Graph-Regularized Optimal Transport Framework for Diagonal Single-Cell Integrative Analysis

The overarching theme of the research in our group is the understanding of the information encoded in genomic sequences, and how this information is processed in the pathway leading from DNA to protein sequences. We are intrigued by the parallelism between computation and the processing of information encoded in biological sequences. The bulk of ouf research currently focuses on the mechanisms underlying RNA production (transcription) and post-processing (splicing), and it is increasingly ...

Department of Molecular NeuroscienceCenter for Brain ResearchMedical University of Vienna

Dev team for Hecatomb

In view of the complexity in modeling phylogenetic network experiments, the present work introduces a workflow for phylogenetic network analyses coupled to be executed in High-Performance Computing (HPC) environments. The workflow aims to integrate well-established software, pipelines and scripts, implementing a challenging task since these tools do not consistently profit from the HPC environment, leading to an increase in the expected makespan and idle computing resources.