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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Plain Text - 3.5 MB - MD5: a52123276010d574f2c2d52327bcdafb
Feb 15, 2026
Horz, Jakob; Wolff, Katharina; Friedhoff, Ronja; Pucker, Boas, 2025, "Digitalis purpurea genome sequence and annotation V2", https://doi.org/10.60507/FK2/4KUKXI, bonndata, V2
Here we present a high-quality genome sequence and annotation of Digitalis purpurea (commonly known as foxglove), a plant valued both for its ornamental flowers and for producing the cardiac drug digoxin. The study aims to uncover the genetic basis of flower color variation in this species. Using ONT long-read sequencing data, we assembled the geno...
Gzip Archive - 17.0 MB - MD5: e74e992dfc7564b32a4b6b1ca6b641b9
TE annotation
Plain Text - 5.3 KB - MD5: c6c59131bf68c23eb13db4d44a9c5dd5
Unknown - 56.8 MB - MD5: 6d98f71fa432dab33d29a2ad86334493
structural annotation
Plain Text - 2.7 MB - MD5: 6eb6792b7f7bf2e467172bc7dba94509
functional annotation
Unknown - 53.5 MB - MD5: c84b32392ee824fb9bd1763d6adb872c
CDS
Unknown - 573.9 MB - MD5: 51c974f5557e3c96f81839eadc19a790
genome sequence
Unknown - 18.3 MB - MD5: 77393a952d63e727b6e031c01c82cfe4
Plain Text - 4.2 KB - MD5: 668e885b6bca2c81792fa7c489d7c6d7
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