Biological and Computational Complexity

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The CRC in Biological and Computational Complexity 2020-2025 aims to develop methods to identify functional regions in genomes and to discover the evolutionary relationships between functional regions at multiple embedded levels. The specific objectives are: 1) to develop models of multiple RNA families for fast identification of RNA genes, 2) to infer evolutionary relationships between coding genes at transcripts level, 3) to correct gene trees using gene neighborhood information. The results will contribute to crucial challenges of modern computational genomics, namely to scale up genome annotation to the rapid advances of genome sequencing, and to provide integrative methods for more insightful reconstructions of the evolution of genome components.