The BIONUMERICS software offers a tool for screening an entry against the database, based upon a character type experiment. This identification tool benefits from a bulk-fetching mechanism, which makes it many times faster for identification against large databases. This tutorial describes how to perform such character-based identification of entries.
Demonstration database containing data for a set of 51 Listeria monocytogenes isolates. This database uses publicly available next-generation sequence reads from the Sequence Read Archive (SRA). For each isolate, NGS reads were de novo assembled into genome sequences. wgMLST alleles were called using the assembly-based and assembly-free method.
Note that the downloaded database backup file (.bnbk) can be restored via the Restore database... functionality in the BIONUMERICS startup screen.