| NetSolP: predicting protein solubility in Escherichia coli using language models V Thumuluri, HM Martiny, JJ Almagro Armenteros, J Salomon, H Nielsen, ... Bioinformatics 38 (4), 941-946, 2022 | 27 | 2022 |
| Global Distribution of mcr Gene Variants in 214K Metagenomic Samples HM Martiny, P Munk, C Brinch, J Szarvas, FM Aarestrup, TN Petersen Msystems 7 (2), e00105-22, 2022 | 22* | 2022 |
| A curated data resource of 214K metagenomes for characterization of the global antimicrobial resistome HM Martiny, P Munk, C Brinch, FM Aarestrup, TN Petersen PLoS Biology 20 (9), e3001792, 2022 | 9* | 2022 |
| Deep protein representations enable recombinant protein expression prediction HM Martiny, JJA Armenteros, AR Johansen, J Salomon, H Nielsen Computational Biology and Chemistry 95, 107596, 2021 | 8 | 2021 |
| Utilizing co-abundances of antimicrobial resistance genes to identify potential co-selection in the resistome HM Martiny, P Munk, C Brinch, FM Aarestrup, ML Calle, TN Petersen bioRxiv, 2022.12. 19.519133, 2022 | 1 | 2022 |
| ARGprofiler—a pipeline for large-scale analysis of antimicrobial resistance genes and their flanking regions in metagenomic datasets HM Martiny, N Pyrounakis, TN Petersen, O Lukjančenko, FM Aarestrup, ... Bioinformatics, btae086, 2024 | | 2024 |
| Analysis of global emergence and spread of antimicrobial resistance in 214k host and environmental samples HM Martiny Technical University of Denmark, 2022 | | 2022 |
Patrick MunkAssistant Professor, Technical University of DenmarkEmail confirmado em food.dtu.dk
