www.medrxiv.org/content/10.1...
www.medrxiv.org/content/10.1...
Bacterial Strain Taxonomy for Genomic Surveillance
📅 22–23.10, 09:00–12:00 (CEST)
Learn how bacterial pathogens are classified & named in genomic surveillance – from #MLST & #cgMLST to SNP-based & k-mer clustering.
Info: bit.ly/48qT5df
#ECDCTraining #IDsky #EpiSky
Bacterial Strain Taxonomy for Genomic Surveillance
📅 22–23.10, 09:00–12:00 (CEST)
Learn how bacterial pathogens are classified & named in genomic surveillance – from #MLST & #cgMLST to SNP-based & k-mer clustering.
Info: bit.ly/48qT5df
#ECDCTraining #IDsky #EpiSky
journals.plos.org/plosone/arti...
pubmed.ncbi.nlm.nih.gov/42102105/
#MicroSky
journals.plos.org/plosone/arti...
pubmed.ncbi.nlm.nih.gov/42102105/
#MicroSky
New essay in PLOS Biology explores the Life Identification Number system — a cgMLST‑based framework for stable, high‑resolution strain classification and global epidemiological tracking.
journals.plos.org/plosbiology/...
@sylvainbrisse.bsky.social
New essay in PLOS Biology explores the Life Identification Number system — a cgMLST‑based framework for stable, high‑resolution strain classification and global epidemiological tracking.
journals.plos.org/plosbiology/...
@sylvainbrisse.bsky.social
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
A cgMLST scheme for pneumococcus
www.microbiologyresearch.org/content/jour...
A cgMLST scheme for pneumococcus
www.microbiologyresearch.org/content/jour...
Used cgMLST and single-linkage clustering. Most clusters included humans and pets or pet contact. Wildlife->pets->people
Used cgMLST and single-linkage clustering. Most clusters included humans and pets or pet contact. Wildlife->pets->people
• Understand MLST, cgMLST, SNP-based, LIN and k-mer systems
• Apply these to classify bacterial isolates at species, lineage and outbreak level
• Design or adapt cgMLST schemes
• Evaluate pros and cons for public health surveillance
#GenomicEpidemiology #Bioinformatics
• Understand MLST, cgMLST, SNP-based, LIN and k-mer systems
• Apply these to classify bacterial isolates at species, lineage and outbreak level
• Design or adapt cgMLST schemes
• Evaluate pros and cons for public health surveillance
#GenomicEpidemiology #Bioinformatics
www.ndph.ox.ac.uk/news/new-stu...
www.ndph.ox.ac.uk/news/new-stu...