Zobrazeno 1 - 9
of 9
pro vyhledávání: '"P. T. L. C. Clausen"'
Autor:
D. Aytan-Aktug, M. Nguyen, P. T. L. C. Clausen, R. L. Stevens, F. M. Aarestrup, O. Lund, J. J. Davis
Publikováno v:
mSystems, Vol 6, Iss 3 (2021)
Antimicrobial resistance causes thousands of deaths annually worldwide. Understanding the regions of the genome that are involved in antimicrobial resistance is important for developing mitigation strategies and preventing transmission.
Externí odkaz:
https://doaj.org/article/acaa3d5085a343a99ad1b70bb349d924
Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks
Publikováno v:
mSystems, Vol 5, Iss 1 (2020)
ABSTRACT Machine learning has proven to be a powerful method to predict antimicrobial resistance (AMR) without using prior knowledge for selected bacterial species-antimicrobial combinations. To date, only species-specific machine learning models hav
Externí odkaz:
https://doaj.org/article/0740f9a03f83446995c6171800f36b07
Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks
Publikováno v:
mSystems, Vol 5, Iss 1 (2020)
ABSTRACT Machine learning has proven to be a powerful method to predict antimicrobial resistance (AMR) without using prior knowledge for selected bacterial species-antimicrobial combinations. To date, only species-specific machine learning models hav
Externí odkaz:
https://doaj.org/article/33bc4ac6ab3a4460b35230d1ea2847e2
Autor:
Derya Aytan-Aktug, Vladislav Grigorjev, Judit Szarvas, Philip T. L. C. Clausen, Patrick Munk, Marcus Nguyen, James J. Davis, Frank M. Aarestrup, Ole Lund
Publikováno v:
Microbiology Spectrum, Vol 10, Iss 6 (2022)
ABSTRACT High-throughput genome sequencing technologies enable the investigation of complex genetic interactions, including the horizontal gene transfer of plasmids and bacteriophages. However, identifying these elements from assembled reads remains
Externí odkaz:
https://doaj.org/article/4a2875f86c0a4300891ca90108be5927
Autor:
Derya Aytan-Aktug, Philip T. L. C. Clausen, Judit Szarvas, Patrick Munk, Saria Otani, Marcus Nguyen, James J. Davis, Ole Lund, Frank M. Aarestrup
Publikováno v:
mSystems, Vol 7, Iss 2 (2022)
ABSTRACT Plasmids play a major role facilitating the spread of antimicrobial resistance between bacteria. Understanding the host range and dissemination trajectories of plasmids is critical for surveillance and prevention of antimicrobial resistance.
Externí odkaz:
https://doaj.org/article/6edcfac552194615b133054c20338ae6
Publikováno v:
Frontiers in Microbiology, Vol 10 (2019)
Resistance in Mycobacterium tuberculosis is a major obstacle for effective treatment of tuberculosis. Multiple studies have shown promising results for predicting drug resistance in M. tuberculosis based on whole genome sequencing (WGS) data, however
Externí odkaz:
https://doaj.org/article/a3e4e3c5769b4f4c8d70ef24c02e2b3a
Autor:
Patrick Munk, Dongsheng Yang, Timo Röder, Leonie Maier, Thomas Nordahl Petersen, Ana Sofia Ribeiro Duarte, Philip T. L. C. Clausen, Christian Brinch, Liese Van Gompel, Roosmarijn Luiken, Jaap A. Wagenaar, Heike Schmitt, Dick J. J. Heederik, Dik J. Mevius, Lidwien A. M. Smit, Alex Bossers, Frank M. Aarestrup
Publikováno v:
mSystems, Vol 9, Iss 4 (2024)
ABSTRACTMetagenomic sequencing has proven to be a powerful tool in the monitoring of antimicrobial resistance (AMR). Here, we provide a comparative analysis of the resistome from pigs, poultry, veal calves, turkey, and rainbow trout, for a total of 5
Externí odkaz:
https://doaj.org/article/8c9e442d3be148e39a86a93eddf66e9e
Autor:
Vanessa R. Marcelino, Philip T. L. C. Clausen, Jan P. Buchmann, Michelle Wille, Jonathan R. Iredell, Wieland Meyer, Ole Lund, Tania C. Sorrell, Edward C. Holmes
Publikováno v:
Genome Biology, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract There is an increasing demand for accurate and fast metagenome classifiers that can not only identify bacteria, but all members of a microbial community. We used a recently developed concept in read mapping to develop a highly accurate metag
Externí odkaz:
https://doaj.org/article/603ad5e8d3794c12b57c37afbe8c7179
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-8 (2018)
Abstract Background As the cost of sequencing has declined, clinical diagnostics based on next generation sequencing (NGS) have become reality. Diagnostics based on sequencing will require rapid and precise mapping against redundant databases because
Externí odkaz:
https://doaj.org/article/90d6362d17074d12909d8065e498f4c1