AIMC Topic: DNA, Bacterial

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VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learning.

PLoS computational biology
Antimicrobial resistance (AMR) is an increasing threat to public health. Current methods of determining AMR rely on inefficient phenotypic approaches, and there remains incomplete understanding of AMR mechanisms for many pathogen-antimicrobial combin...

Bacterial classification with convolutional neural networks based on different data reduction layers.

Nucleosides, nucleotides & nucleic acids
For high accuracy classification of DNA sequences through Convolutional Neural Networks (CNNs), it is essential to use an efficient sequence representation that can accelerate similarity comparison between DNA sequences. In addition, CNN networks can...

Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study.

PloS one
BACKGROUND: The postmortem microbiome can provide valuable information to a death investigation and to the human health of the once living. Microbiome sequencing produces, in general, large multi-dimensional datasets that can be difficult to analyze ...

Rapid microarray-based assay for detection of pyrazinamide resistant Mycobacterium tuberculosis.

Diagnostic microbiology and infectious disease
Pyrazinamide (PZA) is a key antibiotic for the treatment of drug susceptible tuberculosis. PZA-resistance is mainly mediated by mutations in the pncA gene; however the current gold standard is a phenotypic drug susceptibility test requiring a well-ad...

Antimicrobial Characteristics of Lactic Acid Bacteria Isolated from Homemade Fermented Foods.

BioMed research international
. Lactic acid bacteria (LAB) were isolated from fermented foods, such as glutinous rice dough, corn noodle, chili sauce, potherb mustard pickles, and stinky tofu, in northeast China. LAB strains with antimicrobial activities were screened, and seven ...

Novel ELISA based on fluorescent quenching of DNA-stabilized silver nanoclusters for detecting E. coli O157:H7.

Food chemistry
Escherichia coli O157:H7 (E. coli O157:H7) is a potential threat to human health; thus, a rapid and sensitive method for detecting it is necessary. We designed a single-stranded DNA that contained an appended block and anchoring block. The appended b...

Mutations associated with change of susceptibility to lincosamides and/or macrolides in field and laboratory-derived Mycoplasma californicum strains in Japan, and development of a rapid detection method for these mutations.

Veterinary microbiology
Five mutations involved in changing of susceptibility to lincosamides and/or macrolides were investigated in field isolates of Mycoplasma californicum in Japan, and reconfirmed in laboratory-derived mutants. In addition, a quick and easy detection me...