CASSIS and SMIPS: promoter-based prediction of secondary metabolite gene clusters in eukaryotic genomes.
(2015) CASSIS and SMIPS: promoter-based prediction of secondary metabolite gene clusters in eukaryotic genomes. Bioinformatics 32(8), 1138.
Bioinformatic investigation and prediction of gene regulatory elements in pathogenic fungi
Secondary metabolites (SM) are structurally diverse natural products of high pharmaceutical importance. Genes involved in their biosynthesis are often organized in clusters, i.e., are co-localized and co-expressed. In silico cluster prediction in eukaryotic genomes remains problematic mainly due to the high variability of the clusters' content and lack of other distinguishing sequence features.
doi: btv713 PMID: 26656005