Exact(13)
In this review, we summarize the methods for genome sequencing, gene cluster prediction, and gene editing in Streptomyces, as well as metabolic engineering strategies for NP overproduction and approaches for generating new products.
Using multiple genomes resulted in improved performance in homotypic cluster prediction for many TFs.
The genome-wide discovery of TGs through homotypic cluster prediction [23] was already shown to be feasible for a number of TFs, particularly Dorsal [8], Bicoid [9] and Suppressor of Hairless [10].
Cluster prediction based on antiSMASH.
SMB clusters throughout the Stachybotrys assemblies were identified with the antiSMASH cluster prediction software [ 28].
In addition, PCR evidence suggests identification of cluster-specific sequence similarity in TMP is sufficient for cluster prediction.
Similar(47)
In a second, more classical approach, we filtered the HMM-based motif cluster predictions based on sequence conservation of the predicted motifs themselves.
The validity of cluster predictions was probed by determining if some the genes in each cluster encode protein with similar annotated functions (PlasmoDB.org).
Therefore, one has to analyze the dependence of the cluster predictions on threshold variation.
It combines genome wide motif cluster predictions with gene set enrichment analysis.
In addition, five of the affinity density predictions were ranked higher than 100, compared with only two of the conserved motif cluster predictions that were ranked higher than 200, suggesting higher specificity in the affinity density algorithm.
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