Sentence examples for pathogen classification from inspiring English sources

These methods shall enable a pathogen classification at species level but also a live/dead discrimination.

However, by examining many diverse species as a group, we do somewhat overcome uncertainty or pathogen classification errors in a few cases by the sheer numbers of organisms we analyzed and the diversity of phyla examined.

Sequencing-based pathogen classification and polymorphism-specific PCR recognition are two new interesting applications of PCR methods [ 3].

For this purpose, we applied a global genome-wide probe selection strategy on 32 available complete enterobacterial genomes combined with a regression model for pathogen classification.

Median alpha-defensin S/CO levels were calculated for alpha-defensin-positive and -negative groups as well as for the various pathogen classifications and anatomic sites.

No associations between distribution of the isolated pathogens and classification of the surgical procedure, duration of hospitalization or depth of the SSI were shown, with the exception of Escherichia coli isolates being significantly more often found in deep wound infections than in superficial skin infections.

This may be significant when the bio-indicator pathogen for biosolids classification is Ascaris as is the case for tropical and developing countries.

MSP offered an orthogonal and complementary approach [16], [17] to gene-based techniques used in previous CCD studies for pathogen screening and classification.

This leads us to assess the feasibility of a reliable and rapid discrimination of pathogens through the classification of their spectral signatures extracted from hyperspectral image acquisitions of bacteria colonies growing on blood agar plates.

While the field of taxonomic classification and pathogen detection within complex mixed DNA samples has developed a set of highly sophisticated algorithms and tools (e.g. [ 18- 21], and many others), none of these have yet been modified or validated for use with nanopore sequence data.

To demonstrate the power of this approach we suggest a more clinically relevant alternative to the traditional evolutionary classification of pathogens, based upon their clinical syndrome associations.