We address biological questions by combining molecular biology and computational methods. Our focus is on the genetic basis of plant specialized metabolism and the evolution of biosynthetic capabilities. To elucidate biosynthetic networks, we combine data from our own sequencing with public datasets. Bioinformatics tools are developed to answer specific questions through the analysis of large datasets, often employing methods of artificial intelligence. We investigate the regulation of biosynthetic networks through transcriptomics. Phylogenetic analyses assist in selecting candidate genes for specific molecular functions. Identified genes and biosynthetic pathways serve as a basis for experiments using synthetic biology methods. The results from the various approaches culminate in biotechnological applications.
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May 5, 2026
Pucker, Boas; Wolff, Katharina, 2026, "Rubus armeniacus genome sequence and annotation", https://doi.org/10.60507/FK2/L7LG2L, bonndata, V1
Here, we present the genome sequence and annotation of Rubus armeniacus. Oxford Nanopore Technologies (ONT) long-read sequencing data were assembled to generate the genome sequence. Protein-coding genes were predicted and functionally annotated.
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