Deep learning methods for genome-based prediction of drug resistance in Mycobacterium tuberculosis by Wang, C

“…</p> <p>The <em>Comprehensive Resistance Prediction for Tuberculosis: an International Consortium</em> (CRyPTIC), a global collaboration, has granted access to two extensive datasets, enabling the training of accurate prediction models. …”

The Quest for Orthologs orthology benchmark service in 2022 by Nevers, Y, Jones, TEM, Jyothi, D, Yates, B, Ferret, M, Portell-Silva, L, Codo, L, Cosentino, S, Marcet-Houben, M, Vlasova, A, Poidevin, L, Kress, A, Hickman, M, Persson, E, Piližota, I, Guijarro-Clarke, C, the OpenEBench team the Quest for Orthologs Consortium, Iwasaki, W, Lecompte, O, Sonnhammer, E, Roos, DS, Gabaldón, T, Thybert, D, Thomas, PD, Emms, DM

“…The Orthology Benchmark Service (https://orthology.benchmarkservice.org) is the gold standard for orthology inference evaluation, supported and maintained by the Quest for Orthologs consortium. …”

New developments for the Quest for Orthologs benchmark service by Altenhoff, A, Nevers, Y, Tran, V, Jyothi, D, Martin, M, Cosentino, S, Majidian, S, Marcet-Houben, M, Fuentes-Palacios, D, Persson, E, Walsh, T, Lecompte, O, Gabaldón, T, Kelly, S, Hu, Y, Iwasaki, W, Capella-Gutierrez, S, Dessimoz, C, Thomas, P, Ebersberger, I, Sonnhammer, E

“…It is supported and maintained by the QfO consortium, and is used to gather ortholog predictions and to examine strengths and weaknesses of newly developed and existing orthology inference methods. …”