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gplas: a comprehensive tool for plasmid analysis using short-read graphs
Sergio Arredondo-Alonso, Martin Bootsma, Yaïr Hein, Malbert R.C. Rogers, Jukka Corander, Rob JL Willems, Anita C. Schürch
doi: https://doi.org/10.1101/835900
Sergio Arredondo-Alonso
1Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
Martin Bootsma
2Julius Center for Health Sciences and Primary Care of the UMC Utrecht, Utrecht University, Utrecht, The Netherlands
3Department of Mathematics, Faculty of Sciences, Utrecht University, Utrecht, The Netherlands
Yaïr Hein
3Department of Mathematics, Faculty of Sciences, Utrecht University, Utrecht, The Netherlands
Malbert R.C. Rogers
1Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
Jukka Corander
4Pathogen Genomics, Wellcome Trust Sanger Institute, Cambridge CB10 1SA, UK
5Department of Biostatistics, University of Oslo, 0317 Oslo, Norway
6Department of Mathematics and Statistics, Helsinki Institute of Information Technology (HIIT), FI-00014 University of Helsinki, Finland
Rob JL Willems
1Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
Anita C. Schürch
1Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands

- Supplementary Materials[supplements/835900_file02.pdf]
- Supplementary Table S1[supplements/835900_file03.csv]
Posted November 08, 2019.
gplas: a comprehensive tool for plasmid analysis using short-read graphs
Sergio Arredondo-Alonso, Martin Bootsma, Yaïr Hein, Malbert R.C. Rogers, Jukka Corander, Rob JL Willems, Anita C. Schürch
bioRxiv 835900; doi: https://doi.org/10.1101/835900
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