Scan Cluster: A versatile database-independent prediction tool for multi-genome identification of homologous gene clusters. (opens in new tab)

The exploration of colocalized gene sets, such as Biosynthetic Gene Clusters (BGCs) and symbiotic islands, is fundamental in modern genome mining. However, many existing prediction tools rely heavily on curated databases or predefined rules, inherently biasing detection toward known clusters. To address these limitations, we introduce Scan Cluster, a robust and flexible Python-based bioinformatic tool designed to identify user-defined, conserved gene clusters across diverse genomes without da...