Reposted by Shahd ElNaggar
What was antibiotic resistance like before we ever used antibiotics? How did we change what antibiotic resistance genes looked like over 100 years?
Our paper looking at resistance genes from a century of NCTC historical isolates now out in mGen:
www.microbiologyresearch.org/content/jour...
Our paper looking at resistance genes from a century of NCTC historical isolates now out in mGen:
www.microbiologyresearch.org/content/jour...
Genomic resistance in historical clinical isolates increased in frequency and mobility after the age of antibiotics
Antibiotic resistance is frequently observed shortly after the clinical introduction of an antibiotic. Whether and how frequently that resistance occurred before the introduction is harder to determin...
www.microbiologyresearch.org
September 1, 2025 at 5:49 PM
What was antibiotic resistance like before we ever used antibiotics? How did we change what antibiotic resistance genes looked like over 100 years?
Our paper looking at resistance genes from a century of NCTC historical isolates now out in mGen:
www.microbiologyresearch.org/content/jour...
Our paper looking at resistance genes from a century of NCTC historical isolates now out in mGen:
www.microbiologyresearch.org/content/jour...
Reposted by Shahd ElNaggar
Happy to share DEBIAS-M, our new method for domain adaptation and bias correction in #microbiome data.🧬🖥️
Microbiome data is very variable, with substantial study- and batch-effects. DEBIAS-M corrects these, enabling robust and generalizable analyses.
A quick thread:
www.nature.com/articles/s41...
Microbiome data is very variable, with substantial study- and batch-effects. DEBIAS-M corrects these, enabling robust and generalizable analyses.
A quick thread:
www.nature.com/articles/s41...
Processing-bias correction with DEBIAS-M improves cross-study generalization of microbiome-based prediction models - Nature Microbiology
DEBIAS-M corrects technical variability in microbiome data in a manner both interpretable and suitable for machine learning. In extensive benchmarks, DEBIAS-M facilitates robust analyses that generali...
www.nature.com
March 27, 2025 at 4:01 PM
Happy to share DEBIAS-M, our new method for domain adaptation and bias correction in #microbiome data.🧬🖥️
Microbiome data is very variable, with substantial study- and batch-effects. DEBIAS-M corrects these, enabling robust and generalizable analyses.
A quick thread:
www.nature.com/articles/s41...
Microbiome data is very variable, with substantial study- and batch-effects. DEBIAS-M corrects these, enabling robust and generalizable analyses.
A quick thread:
www.nature.com/articles/s41...