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            <funder>The work was financed by H2020-INFRADEV-03-2019 Project IS_MIRRI21 (Grant Agreement No.871129).</funder>
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                <term xml:lang="en">Ranking</term>
                <term xml:lang="en">culling</term>
                <term xml:lang="en">microbial biobanks</term>
                <term xml:lang="en">WGS</term>
                <term xml:lang="en">bacterial strains</term>
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              <p>Microbial biobanks preserve and provide microbial bioresources for research, training, and quality control purposes. They ensure the conservation of biodiversity, contribute to taxonomical research, and support scientific advancements. Microbial biobanks can cover a wide range of phylogenetic and metabolic diversity ("category killers") or focus on specific taxonomic, thematic, or disease areas. The strategic decisions about strain selection for certain applications or for the biobank culling necessitate a method to support prioritization and selection. Here, we propose an unbiased scoring approach based on objective parameters to assess, categorize, and assign priorities among samples in stock in a microbial biobank. We describe the concept of this ranking tool and its application to identify high-priority strains for whole genome sequencing with two main goals: (i) genomic characterization of quality control, reference, and type strains; (ii) genome mining for the discovery of natural products, bioactive and antimicrobial molecules, with focus on human diseases. The general concept of the tool can be useful to any biobank and for any ranking or culling needs.</p>
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