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. PubMed
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Bioinformatic investigation and prediction of gene regulatory elements in pathogenic fungi
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Abstract
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.
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doi: btv713 PMID: 26656005