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

“…The development of whole-genome sequencing technology offers the hope of rapid and accurate genomic drug susceptibility tests. …”

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. …”

HGVS Nomenclature 2024: improvements to community engagement, usability, and computability by Hart, RK, Fokkema, IFAC, DiStefano, M, Hastings, R, Laros, JFJ, Taylor, R, Wagner, AH, den Dunnen, JT

“…Background: The Human Genome Variation Society (HGVS) Nomenclature is the global standard for describing and communicating variants in DNA, RNA, and protein sequences in clinical and research genomics. …”

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

“…The web server allows different inference methods to be compared in a standardized way using the same proteome data. The benchmark results are useful for developing new methods and can help researchers to guide their choice of orthology method for applications in comparative genomics and phylogenetic analysis. …”