A Bioinformatics Whole-Genome Sequencing Workflow for Clinical Mycobacterium tuberculosis Complex Isolate Analysis, Validated Using a Reference Collection Extensively Characterized with Conventional Methods and In Silico Approaches

Bogaerts, BertBertBogaertsDelcourt, ThomasThomasDelcourtSoetaert, KarineKarineSoetaertBoarbi, SamiraSamiraBoarbiCeyssens, Pieter-JanPieter-JanCeyssensWinand, RafRafWinandVan Braekel, JulienJulienVan BraekelDe Keersmaecker, Sigrid C. J.Sigrid C. J.De KeersmaeckerRoosens, Nancy H. C.Nancy H. C.RoosensMarchal, KathleenKathleenMarchalMathys, VanessaVanessaMathysVanneste, KevinKevinVanneste2022-03-092022-03-0920210095-1137WOS:000654104400003https://imec-publications.be/handle/20.500.12860/39397A Bioinformatics Whole-Genome Sequencing Workflow for Clinical Mycobacterium tuberculosis Complex Isolate Analysis, Validated Using a Reference Collection Extensively Characterized with Conventional Methods and In Silico ApproachesJournal article10.1128/JCM.00202-21WOS:000654104400003DRUG-RESISTANCEREAD ALIGNMENTPUBLIC-HEALTHDIFFERENTIATIONPREDICTIONGENETOOLSUSCEPTIBILITYIDENTIFICATIONSIMULATIONMEDLINE:33789960