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Dr

Michael Hall

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Overview

Availability

Dr Michael Hall is:
Available for supervision

Works

Search Professor Michael Hall’s works on UQ eSpace

24 works between 2018 and 2025

21 - 24 of 24 works

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). 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

Supervision

Availability

Dr Michael Hall is:
Available for supervision

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Media

Enquiries

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