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Microbial Identification
Poster Title: Microbial Identification
Submitted on 07 Jun 2022
Author(s): CD Genomics
Poster Views: 167
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Poster Information
Abstract: Traditional culture-dependent microorganism identification methods lean heavily on morphology, physiology, pathology, and biochemical testing, which are time consuming and labor-intensive. The advances of genetic technologies in recent decades have shined a light on microbial identification and promoted the soaring of microbiota research and the progress of medical science. Summary: Ribosomal RNA (rRNA) sequencing have been reported to have the highest accuracy for microbial identification and stratification. Our MicroSEQ® platform from Applied Biosystems based on 16S rRNA (for bacteria) and LSU-D2 region (for fungi) sequencing is a highly accurate and fast tool for microbial identification. References:
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