Reply to “Do genome‐scale models need exact solvers or clearer standards?” by Leonid Chindelevitch, Jason Trigg, Aviv Regev, Bonnie Berger

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Quantitative prediction of disinfectant tolerance in Listeria monocytogenes using whole genome sequencing and machine learning by Alexander Gmeiner, Mirena Ivanova, Patrick Murigu Kamau Njage, Lisbeth Truelstrup Hansen, Leonid Chindelevitch, Pimlapas Leekitcharoenphon

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Ten simple rules for the sharing of bacterial genotype-Phenotype data on antimicrobial resistance. by Leonid Chindelevitch, Maarten van Dongen, Heather Graz, Antonio Pedrotta, Anita Suresh, Swapna Uplekar, Elita Jauneikaite, Nicole Wheeler

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Antimicrobial resistance in Campylobacter spp. focussing on C. jejuni and C. coli – A narrative review by Vathsala Mohan, Nikolaos Strepis, Konstantinos Mitsakakis, Karsten Becker, Leonid Chindelevitch, Nirajmohan Shivaperumal, Khine Swe Swe-Han, John P. Hays

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Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis by Sanjana G. Kulkarni, Sacha Laurent, Paolo Miotto, Timothy M. Walker, Leonid Chindelevitch, Carl-Michael Nathanson, Nazir Ismail, Timothy C. Rodwell, Maha R. Farhat

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All parts of the WHO Mycobacterium tuberculosis mutation catalog need to be applied when evaluating its performance by Sacha Laurent, Jody E. Phelan, Leonid Chindelevitch, Timothy M. Walker, Daniela M. Cirillo, Anita Suresh, Timothy C. Rodwell, Paolo Miotto, Claudio U. Köser

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BenchAMRking: a Galaxy-based platform for illustrating the major issues associated with current antimicrobial resistance (AMR) gene prediction workflows by Nikolaos Strepis, Dennis Dollee, Donny Vrins, Kevin Vanneste, Bert Bogaerts, Catherine Carrillo, Amrita Bharat, Kristy Horan, Norelle L. Sherry, Torsten Seemann, Benjamin P. Howden, Saskia Hiltemann, Leonid Chindelevitch, Andrew P. Stubbs, John P. Hays

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