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2021

Journal Article

Drug-resistant tuberculosis in pet ring-tailed lemur, Madagascar

LaFleur, Marni, Reuter, Kim E., Hall, Michael B., Rasoanaivo, Hoby H., McKernan, Stuart, Ranaivomanana, Paulo, Michel, Anita, Rabodoarivelo, Marie Sylvianne, Iqbal, Zamin, Rakotosamimanana, Niaina and Lapierre, Simon Grandjean (2021). Drug-resistant tuberculosis in pet ring-tailed lemur, Madagascar. Emerging Infectious Diseases, 27 (3), 977-979. doi: 10.3201/eid2703.202924

Drug-resistant tuberculosis in pet ring-tailed lemur, Madagascar

2021

Journal Article

Freshwater monitoring by nanopore sequencing

Urban, Lara, Holzer, Andre, Baronas, J. Jotautas, Hall, Michael B., Braeuninger-Weimer, Philipp, Scherm, Michael J., Kunz, Daniel J., Perera, Surangi N., Martin-Herranz, Daniel E., Tipper, Edward T., Salter, Susannah J. and Stammnitz, Maximilian R. (2021). Freshwater monitoring by nanopore sequencing. eLife, 10 e61504, 1-27. doi: 10.7554/elife.61504

Freshwater monitoring by nanopore sequencing

2021

Journal Article

Sustainable data analysis with Snakemake

Köster, Johannes, Mölder, Felix, Jablonski, Kim Philipp, Letcher, Brice, Hall, Michael B., Tomkins-Tinch, Christopher H., Sochat, Vanessa, Forster, Jan, Lee, Soohyun, Twardziok, Sven O., Kanitz, Alexander, Wilm, Andreas, Holtgrewe, Manuel, Rahmann, Sven and Nahnsen, Sven (2021). Sustainable data analysis with Snakemake. F1000Research, 10 33, 33. doi: 10.12688/f1000research.29032.2

Sustainable data analysis with Snakemake

2019

Journal Article

Correction to: Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning

Teng, Haotian, Cao, Minh Duc, Hall, Michael B., Duarte, Tania, Wang, Sheng and Coin, Lachlan J M (2019). Correction to: Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning. GigaScience, 8 (5) giz049. doi: 10.1093/gigascience/giz049

Correction to: Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning

2019

Journal Article

Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with mykrobe [version 1; peer review: 2 approved, 1 approved with reservations]

Hunt, Martin, Bradley, Phelim, Lapierre, Simon Grandjean, Heys, Simon, Thomsit, Mark, Hall, Michael B., Malone, Kerri M., Wintringer, Penelope, Walker, Timothy M., Cirillo, Daniela M., Comas, Iñaki, Farhat, Maha R., Fowler, Phillip, Gardy, Jennifer, Ismail, Nazir, Kohl, Thomas A., Mathys, Vanessa, Merker, Matthias, Niemann, Stefan, Omar, Shaheed Vally, Sintchenko, Vitali, Smith, Grace, van Soolingen, Dick, Supply, Philip, Tahseen, Sabira, Wilcox, Mark, Arandjelovic, Irena, Peto, Tim E.A., Crook, Derrick W. and Iqbal, Zamin (2019). Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with mykrobe [version 1; peer review: 2 approved, 1 approved with reservations]. Wellcome Open Research, 4 191, 191. doi: 10.12688/wellcomeopenres.15603.1

Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with mykrobe [version 1; peer review: 2 approved, 1 approved with reservations]

2018

Journal Article

Chiron: Translating nanopore raw signal directly into nucleotide sequence using deep learning

Teng, Haotian, Cao, Minh Duc, Hall, Michael B., Duarte, Tania, Wang, Sheng and Coin, Lachlan J. M. (2018). Chiron: Translating nanopore raw signal directly into nucleotide sequence using deep learning. GigaScience, 7 (5). doi: 10.1093/gigascience/giy037

Chiron: Translating nanopore raw signal directly into nucleotide sequence using deep learning