Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine learning approaches Autor Carter, J, Walker, T, Walker, A, Whitfield, M, Morlock, G, Lynch, C, Adlard, D, Peto, T, Posey, J, Crook, D, Fowler, P

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The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis Autor Walker, T, Miotto, P, Köser, CU, Fowler, PW, Knaggs, J, Iqbal, Z, Hunt, M, Chindelevitch, L, Farhat, M, Cirillo, D, Comas, I, Posey, J, Omar, SV, Peto, T, Suresh, A, Uplekar, S, Laurent, S, Brankin, A, Carter, J, Clifton, D, Earle, S, Hoosdally, S, Lachapelle, A, Rodger, G, Roohi, A, Thuong, N, Thwaites, G, Wilson, D, Crook, D, Ismail, N, Rodwell, T

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A standardised method for interpreting the association between mutations and phenotypic drug resistance in Mycobacterium tuberculosis. Autor Miotto, P, Tessema, B, Tagliani, E, Chindelevitch, L, Starks, A, Emerson, C, Hanna, D, Kim, P, Liwski, R, Zignol, M, Gilpin, C, Niemann, S, Denkinger, C, Fleming, J, Warren, R, Crook, D, Posey, J, Gagneux, S, Hoffner, S, Rodrigues, C, Comas, I, Engelthaler, D, Murray, M, Alland, D, Rigouts, L, Lange, C, Dheda, K, Hasan, R, Ranganathan, U, McNerney, R, Ezewudo, M, Cirillo, D, Schito, M, Köser, C, Rodwell, T