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the CRyPTIC Consortium

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Microbiology· 5

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Research Focus:drug response / drug discovery· 4 Approach:experimental assay· 4 Assay:whole-genome sequencing· 4 Organism:human· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:imaging· 1

Frequent Co-Authors

P. W. Fowler· 3 shared A. L. Gibertoni Cruz· 2 shared D. M. Cirillo· 2 shared D. W. Crook· 2 shared T. E. Peto· 2 shared T. M. Walker· 2 shared A. Brankin· 1 shared A. Roohi· 1 shared

Activity by Year

2018-2021 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersMicrobiology

P. W. Fowler

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5 papers

Recent·Most cited

Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning

The CRyPTIC consortium, A. S. Lachapelle

This paper develops a machine learning system to predict minimum inhibitory concentrations from unassembled whole-genome sequencing data for 13 anti-tuberculosis drugs, achieving high accuracy for most drugs.

bioRxiv · Sep 14, 2021 · PreprintMicrobiology

A data compendium of Mycobacterium tuberculosis antibiotic resistance

A. Brankin, K. M. Malone, The CRyPTIC Consortium

The paper compiles a large dataset of Mycobacterium tuberculosis isolates with whole genome sequencing and drug resistance phenotypes, enabling genetic prediction of resistance and analysis of rare resistance phenotypes.

bioRxiv · Sep 14, 2021 · PreprintMicrobiology

BashTheBug: a crowd of volunteers reproducibly and accurately measure the minimum inhibitory concentrations of 13 antitubercular drugs from photographs of 96-well broth microdilution plates.

P. W. Fowler, C. Wright, H. Spiers, T. Zhu, E. M. Baeten, S. W. Hoosdally, A. L. Gibertoni Cruz, A. Roohi, S. Kouchaki, T. M. Walker, T. E. Peto, G. Miller, C. Lintott, D. Clifton, D. W. Crook, , The CRyPTIC Consortium

BashTheBug uses crowdsourced volunteers to accurately measure MICs of 13 antitubercular drugs from microdilution plates, showing median/mode of classifications is sufficient.

bioRxiv · Jul 20, 2021Microbiology

Deciphering Bedaquiline and Clofazimine Resistance in Tuberculosis: An Evolutionary Medicine Approach

L. Sonnenkalb, J. Carter, A. Spitaleri, Z. Iqbal, M. Hunt, K. Malone, C. Utpatel, D. M. Cirillo, C. Rodrigues, K. S. Nilgiriwala, the CRyPTIC Consortium, P. W. Fowler, M. Merker, S. Niemann

This study identifies 230 genomic variants associated with resistance to bedaquiline and clofazimine in tuberculosis using experimental evolution, genome sequencing, and structural modeling.

bioRxiv · Mar 19, 2021Microbiology

Validating a 14-drug microtitre plate containing bedaquiline and delamanid for large-scale research susceptibility testing of Mycobacterium tuberculosis

P. M. Rancoita, F. Cugnata, A. L. Gibertoni Cruz, E. Borroni, S. J. Hoosdally, T. M. Walker, C. Grazian, T. J. Davies, T. E. Peto, D. W. Crook, P. W. Fowler, D. M. Cirillo, the CRyPTIC Consortium

The paper validates a 14-drug microtitre plate for measuring MICs of anti-TB compounds in M. tuberculosis isolates, finding optimal reading with the Vizion system after 14 days incubation.

bioRxiv · Jun 15, 2018Microbiology