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Ribotyping is a molecular technique for bacterial identification and characterization that uses information from rRNA-based phylogenetic analyses. [1] It is a rapid and specific method widely used in clinical diagnostics and analysis of microbial communities in food, water, and beverages.
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Identification of non-annotated genes from sequences: MicrobesOnline relies on Glimmer [19] to automatically find genes in bacteria, archaea and viral sequences. Classification of proteins : The classification of proteins by their conserved domain, family and superfamilies determined by PIRSF, [ 20 ] Pfam , [ 21 ] SMART [ 22 ] and SUPERFAMILY ...
Colonial morphology serves as the first step in the identification of microbial species from clinical samples. [10] Based on the visual appearance of the colonies, microbiologists can narrow down the list of possible organisms, allowing them to select appropriate tests to provide a definitive diagnosis.
The aminopeptidase test analyzes bacteria for the production of the enzyme L-alanine-aminopeptidase, an enzyme found in many gram-negative bacteria. Adding L-Alanine-4-nitroanilide hydrochloride to a bacterial culture works as an indicator, changing to a yellow color in the presence of L-alanine-aminopeptidase.
Phage typing is a phenotypic method that uses bacteriophages ("phages" for short) for detecting and identifying single strains of bacteria. [1] Phages are viruses that infect bacteria and may lead to bacterial cell lysis. [2] The bacterial strain is assigned a type based on its lysis pattern. [3]
The analytical profile index, or API, is a classification system for bacteria based on biochemical tests. The system was developed to accelerate the speed of identifying clinically relevant bacteria. It can only be used to identify known species from an index. [1] The data obtained are phenotypic traits.
Like any resampling operation, changing image size and bit depth are lossy in all cases of downsampling, such as 30-bit to 24-bit or 24-bit to 8-bit palette-based images. While increasing bit depth is usually lossless, increasing image size can introduce aliasing or other undesired artifacts.