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A Comparison of Three Different Bioinformatics Analyses of the 16S –23S rRNA Encoding Region for Bacterial Identification
Conclusion The higher resolution at the species level identification provided by 16S–23S rRNA encoding region NGS makes its use in routine diagnostic microbiology potentially attractive. Particularly, data analysis is one of the most important steps of a diagnostic workflow, which requires an optimal pipeline for the interpretation of the sequencing data in a short time. This study demonstrates that de novo assembly and subsequent BLASTN analysis using an in-house developed database compared to OTU clustering and mapping approaches is the most accurate and fastest approach for identification of bacterial pathogens....
Source: Frontiers in Microbiology - April 15, 2019 Category: Microbiology Source Type: research