AIMC Topic: Interspersed Repetitive Sequences

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Machine learning reveals the dynamic importance of accessory sequences for outbreak clustering.

mBio Jan 28, 2025
UNLABELLED: Bacterial typing at whole-genome scales is now feasible owing to decreasing costs in high-throughput sequencing and the recent advances in computation. The unprecedented resolution of whole-genome typing is achieved by genotyping the vari...
Humans Machine Learning Animals Disease Outbreaks Cluster Analysis Whole Genome Sequencing Salmonella enterica Molecular Epidemiology Salmonella Infections Genome, Bacterial Interspersed Repetitive Sequences
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Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jun 28, 2018
The determination of lineages from strain-based molecular genotyping information is an important problem in tuberculosis. Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing is a commonly used molecular genotyp...
Humans Machine Learning Phylogeny Computational Biology Tuberculosis Genetic Variation Mycobacterium tuberculosis Molecular Epidemiology Databases, Nucleic Acid New York City Interspersed Repetitive Sequences Minisatellite Repeats
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