Search Results - "Clausen, C L"

Refine Results
  1. 1

    Rapid and precise alignment of raw reads against redundant databases with KMA by Clausen, Philip T L C, Aarestrup, Frank M, Lund, Ole

    Published in BMC bioinformatics (29-08-2018)
    “…As the cost of sequencing has declined, clinical diagnostics based on next generation sequencing (NGS) have become reality. Diagnostics based on sequencing…”
    Get full text
    Journal Article
  2. 2

    CCMetagen: comprehensive and accurate identification of eukaryotes and prokaryotes in metagenomic data by Marcelino, Vanessa R, Clausen, Philip T L C, Buchmann, Jan P, Wille, Michelle, Iredell, Jonathan R, Meyer, Wieland, Lund, Ole, Sorrell, Tania C, Holmes, Edward C

    Published in Genome Biology (28-04-2020)
    “…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…”
    Get full text
    Journal Article
  3. 3

    Prediction of Acquired Antimicrobial Resistance for Multiple Bacterial Species Using Neural Networks by Aytan-Aktug, D, Clausen, P T L C, Bortolaia, V, Aarestrup, F M, Lund, O

    Published in mSystems (21-01-2020)
    “…Machine learning has proven to be a powerful method to predict antimicrobial resistance (AMR) without using prior knowledge for selected bacterial…”
    Get full text
    Journal Article
  4. 4

    PlasmidHostFinder: Prediction of Plasmid Hosts Using Random Forest by Aytan-Aktug, Derya, Clausen, Philip T L C, Szarvas, Judit, Munk, Patrick, Otani, Saria, Nguyen, Marcus, Davis, James J, Lund, Ole, Aarestrup, Frank M

    Published in mSystems (26-04-2022)
    “…Plasmids play a major role facilitating the spread of antimicrobial resistance between bacteria. Understanding the host range and dissemination trajectories of…”
    Get full text
    Journal Article
  5. 5

    Predicting Antimicrobial Resistance Using Partial Genome Alignments by Aytan-Aktug, D, Nguyen, M, Clausen, P. T. L. C, Stevens, R. L, Aarestrup, F. M, Lund, O, Davis, J. J

    Published in mSystems (15-06-2021)
    “…Antimicrobial resistance (AMR) is an important global health threat that impacts millions of people worldwide each year. Developing methods that can detect and…”
    Get full text
    Journal Article
  6. 6

    Improved Resistance Prediction in Mycobacterium tuberculosis by Better Handling of Insertions and Deletions, Premature Stop Codons, and Filtering of Non-informative Sites by Johnsen, Camilla Hundahl, Clausen, Philip T. L. C., Aarestrup, Frank M., Lund, Ole

    Published in Frontiers in microbiology (31-10-2019)
    “…Resistance in Mycobacterium tuberculosis is a major obstacle for effective treatment of tuberculosis. Multiple studies have shown promising results for…”
    Get full text
    Journal Article
  7. 7

    SourceFinder: a Machine-Learning-Based Tool for Identification of Chromosomal, Plasmid, and Bacteriophage Sequences from Assemblies by Aytan-Aktug, Derya, Grigorjev, Vladislav, Szarvas, Judit, Clausen, Philip T L C, Munk, Patrick, Nguyen, Marcus, Davis, James J, Aarestrup, Frank M, Lund, Ole

    Published in Microbiology spectrum (21-12-2022)
    “…High-throughput genome sequencing technologies enable the investigation of complex genetic interactions, including the horizontal gene transfer of plasmids and…”
    Get full text
    Journal Article
  8. 8

    Metaphylogenetic analysis of global sewage reveals that bacterial strains associated with human disease show less degree of geographic clustering by Ahrenfeldt, Johanne, Waisi, Madina, Loft, Isabella C., Clausen, Philip T. L. C., Allesøe, Rosa, Szarvas, Judit, Hendriksen, Rene S., Aarestrup, Frank M., Lund, Ole

    Published in Scientific reports (20-02-2020)
    “…Knowledge about the difference in the global distribution of pathogens and non-pathogens is limited. Here, we investigate it using a multi-sample metagenomics…”
    Get full text
    Journal Article
  9. 9

    Scaling neighbor joining to one million taxa with dynamic and heuristic neighbor joining by Clausen, Philip T L C

    Published in Bioinformatics (Oxford, England) (01-01-2023)
    “…Abstract Motivation The neighbor-joining (NJ) algorithm is a widely used method to perform iterative clustering and forms the basis for phylogenetic…”
    Get full text
    Journal Article
  10. 10

    Benchmarking of methods for identification of antimicrobial resistance genes in bacterial whole genome data by Clausen, Philip T L C, Zankari, Ea, Aarestrup, Frank M, Lund, Ole

    Published in Journal of antimicrobial chemotherapy (01-09-2016)
    “…Next generation sequencing (NGS) may be an alternative to phenotypic susceptibility testing for surveillance and clinical diagnosis. However, current…”
    Get full text
    Journal Article
  11. 11

    The European livestock resistome by Munk, Patrick, Yang, Dongsheng, Röder, Timo, Maier, Leonie, Petersen, Thomas Nordahl, Duarte, Ana Sofia Ribeiro, Clausen, Philip T L C, Brinch, Christian, Van Gompel, Liese, Luiken, Roosmarijn, Wagenaar, Jaap A, Schmitt, Heike, Heederik, Dick J J, Mevius, Dik J, Smit, Lidwien A M, Bossers, Alex, Aarestrup, Frank M

    Published in mSystems (16-04-2024)
    “…Metagenomic sequencing has proven to be a powerful tool in the monitoring of antimicrobial resistance (AMR). Here, we provide a comparative analysis of the…”
    Get full text
    Journal Article
  12. 12
  13. 13

    ARGprofiler—a pipeline for large-scale analysis of antimicrobial resistance genes and their flanking regions in metagenomic datasets by Martiny, Hannah-Marie, Pyrounakis, Nikiforos, Petersen, Thomas N, Lukjančenko, Oksana, Aarestrup, Frank M, Clausen, Philip T L C, Munk, Patrick

    Published in Bioinformatics (Oxford, England) (04-03-2024)
    “…Abstract Motivation Analyzing metagenomic data can be highly valuable for understanding the function and distribution of antimicrobial resistance genes (ARGs)…”
    Get full text
    Journal Article
  14. 14

    Automated download and clean-up of family-specific databases for kmer-based virus identification by Allesøe, Rosa L, Lemvigh, Camilla K, Phan, My V T, Clausen, Philip T L C, Florensa, Alfred F, Koopmans, Marion P G, Lund, Ole, Cotten, Matthew

    Published in Bioinformatics (05-05-2021)
    “…Abstract Summary Here, we present an automated pipeline for Download Of NCBI Entries (DONE) and continuous updating of a local sequence database based on…”
    Get full text
    Journal Article
  15. 15

    NanoMGT: Marker gene typing of low complexity mono-species metagenomic samples using noisy long reads by Hallgren, Malte B, Clausen, Philip T L C, Aarestrup, Frank M

    Published in Biology methods and protocols (2024)
    “…Rapid advancements in sequencing technologies have led to significant progress in microbial genomics, yet challenges persist in accurately identifying…”
    Get full text
    Journal Article
  16. 16

    Hyperimmune immunoglobulin for hospitalised patients with COVID-19 (ITAC): a double-blind, placebo-controlled, phase 3, randomised trial by Polizzotto, Mark N., Nordwall, Jacqueline, Babiker, Abdel G., Phillips, Andrew, Vock, David M., Eriobu, Nnakelu, Kwaghe, Vivian, Paredes, Roger, Mateu, Lourdes, Ramachandruni, Srikanth, Narang, Rajeev, Jain, Mamta K., Lazarte, Susana M., Baker, Jason V., Frosch, Anne E.P., Poulakou, Garyfallia, Syrigos, Konstantinos N., Arnoczy, Gretchen S., McBride, Natalie A., Robinson, Philip A., Sarafian, Farjad, Bhagani, Sanjay, Taha, Hassan S., Benfield, Thomas, Liu, Sean T.H., Antoniadou, Anastasia, Jensen, Jens Ulrik Stæhr, Kalomenidis, Ioannis, Susilo, Adityo, Hariadi, Prasetyo, Jensen MD, Tomas O., Morales-Rull, Jose Luis, Helleberg, Marie, Meegada, Sreenath, Johansen, Isik S., Canario, Daniel, Fernández-Cruz, Eduardo, Metallidis, Simeon, Shah, Amish, Sakurai, Aki, Koulouris, Nikolaos G., Trotman, Robin, Weintrob, Amy C., Podlekareva, Daria, Hadi, Usman, Lloyd, Kathryn M., Røge, Birgit Thorup, Saito, Sho, Sweerus, Kelly, Malin, Jakob J., Lübbert, Christoph, Muñoz, Jose, Cummings, Matthew J., Losso, Marcelo H., Turner, Dan, Shaw-Saliba, Kathryn, Dewar, Robin, Highbarger, Helene, Lallemand, Perrine, Rehman, Tauseef, Gerry, Norman, Arlinda, Dona, Chang, Christina C., Grund, Birgit, Holbrook, Michael R., Holley, Horace P., Hudson, Fleur, McNay, Laura A., Murray, Daniel D., Pett, Sarah L., Shaughnessy, Megan, Smolskis, Mary C., Touloumi, Giota, Wright, Mary E., Doyle, Mittie K., Popik, Sharon, Hall, Christine, Ramanathan, Roshan, Cao, Huyen, Mondou, Elsa, Willis, Todd, Thakuria, Joseph V., Yel, Leman, Higgs, Elizabeth, Kan, Virginia L., Lundgren, Jens D., Neaton, James D., Lane, H. Clifford

    Published in The Lancet (British edition) (05-02-2022)
    “…Passive immunotherapy using hyperimmune intravenous immunoglobulin (hIVIG) to SARS-CoV-2, derived from recovered donors, is a potential rapidly available,…”
    Get full text
    Journal Article
  17. 17

    SinEx DB 2.0 update 2020: database for eukaryotic single-exon coding sequences by Jorquera, R, González, C, Clausen, P T L C, Petersen, B, Holmes, D S

    “…Single-exon coding sequences (CDSs), also known as 'single-exon genes' (SEGs), are defined as nuclear, protein-coding genes that lack introns in their CDSs…”
    Get full text
    Journal Article
  18. 18

    MINTyper: an outbreak-detection method for accurate and rapid SNP typing of clonal clusters with noisy long reads by Hallgren, Malte B, Overballe-Petersen, Søren, Lund, Ole, Hasman, Henrik, Clausen, Philip T L C

    Published in Biology methods and protocols (2021)
    “…Abstract For detection of clonal outbreaks in clinical settings, we present a complete pipeline that generates a single-nucleotide polymorphisms-distance…”
    Get full text
    Journal Article
  19. 19
  20. 20