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Miranda de Graaf on Muck Rack

Miranda de Graaf

Rotterdam
As seen in: Nature, Flipboard, The Lancet, ASM Journals, Journal of Virology, Journal of Clinical Virology
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Articles

Unveiling the global urban virome through wastewater metagenomics

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By Nathalie Worp, David F. Nieuwenhuijse, Ray Izquierdo-Lara, Christian N. Brinch, Patrick Munk, Rene Hendriksen, Frank M. Aarestrup, Miranda de Graaf
| Flipboard
Five years on, Google DeepMind’s AlphaFold shows why science may be AI’s killer app While many businesses continue to seek AI’s killer app, biochemists have already found it. That application is protein folding. This week marks the …
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Author Correction: Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance | Nature Communications

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By Alessandro Fuschi, Ravi Kant, Ilja Weinstein, Patricia Alba, Christian N. Brinch, Miranda de Graaf, Antonio Battisti, Chiara Oliveri, Fulvia Troja, Tarja Sironen, Olli Vapalahti, Frédérique Pasquali, Péter Pollner, Marion Koopmans, Daniel Remondini, Frank M. Aarestrup
| Nature Verified
Correction to: Nature Communications https://doi.org/10.1038/s41467-024-51957-8, published online 30 August 2024 The published version of the article contained an error in the Results section ‘Abundance and diversity of recovered genomes’ in that in the fourth sentence of the fifth paragraph the bacterial genus name was misspelled (changed from ‘Aliorcobacter’ to ‘Aliarcobacter’).
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Time-series sewage metagenomics distinguishes seasonal, human-derived and environmental microbial communities potentially allowing source-attributed surveillance | Nature Communications

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By Alessandro Fuschi, Patricia Alba, Christian N. Brinch, Miranda de Graaf, Antonio Battisti, Tarja Sironen, Olli Vapalahti, Frédérique Pasquali, Péter Pollner, Marion Koopmans, Daniel Remondini, Frank M. Aarestrup, Ilja Weinstein, Chiara Oliveri, Fulvia Troja, Ravi Kant
| Nature Verified
Abstract Sewage metagenomics has risen to prominence in urban population surveillance of pathogens and antimicrobial resistance (AMR). Unknown species with similarity to known genomes cause database bias in reference-based metagenomics. To improve surveillance, we seek to recover sewage genomes and develop a quantification and correlation workflow for these genomes and AMR over time.
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