Author

P. Rathod

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 5

Signature Assays, Organisms & Methods

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Research Focus:variant calling· 4 Assay:whole-genome sequencing· 4 Approach:statistical model· 3 Approach:experimental assay· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:benchmarking· 1 Approach:deep learning· 1

Frequent Co-Authors

D. W. Crook· 5 shared E. Robinson· 5 shared A. S. Walker· 3 shared E. G. Smith· 3 shared T. E. Peto· 3 shared K. E. Dingle· 2 shared L. Jarrett· 2 shared M. Morgan· 2 shared

Activity by Year

2018-2020 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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5 shared papersMicrobiology

D. W. Crook

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Author profile →

5 papers

Recent·Most cited

DNA Thermo-Protection Facilitates Whole Genome Sequencing of Mycobacteria Direct from Clinical Samples by the Nanopore Platform

S. George, Y. Xu, G. Rodger, M. Morgan, N. D. Sanderson, S. Hoosdally, S. Thulborn, E. Robinson, P. Rathod, A. S. Walker, T. E. Peto, D. W. Crook, K. E. Dingle

This paper develops a thermo-protection buffer to enable direct whole genome sequencing of Mycobacteria from clinical samples using Nanopore technology, achieving high coverage at low bacterial concentrations.

bioRxiv · Apr 5, 2020 · PreprintMicrobiology

MinION Nanopore Sequencing of Multiple Displacement Amplified Mycobacteria DNA Direct from Sputum

S. George, Y. Xu, N. Sanderson, A. T. Hubbard, D. T. Griffiths, M. Morgan, L. Pankhurst, S. J. Hoosdally, D. Foster, S. Thulborn, E. Robinson, E. G. Smith, P. Rathod, A. S. Walker, T. E. Peto, , K. E. Dingle

This study evaluates the effectiveness of multiple displacement amplification followed by MinION sequencing for detecting Mycobacteria DNA in sputum samples.

bioRxiv · Dec 7, 2018 · PreprintMicrobiology

Automated detection of bacterial growth on 96-well plates for high-throughput drug susceptibility testing of Mycobacterium tuberculosis

P. W. Fowler, A. L. Gibertoni Cruz, S. J. Hoosdally, L. Jarrett, E. Borroni, M. Chiacchiaretta, P. Rathod, T. M. Walker, E. Robinson, T. E. Peto, D. M. Cirillo, E. G. Smith, D. W. Crook

This paper introduces AMyGDA, a software tool for automated detection of M. tuberculosis growth on 96-well plates to determine drug susceptibility.

bioRxiv · Jun 15, 2018Microbiology

Identifying mixed Mycobacterium tuberculosis infection and laboratory cross-contamination during Mycobacterial sequencing programs

D. H. Wyllie, E. Robinson, T. E. A. Peto, D. W. Crook, A. Ajileye, P. Rathod, R. Allen, L. Jarrett, E. G. Smith, A. S. Walker

The paper develops metrics to detect mixed Mycobacterium tuberculosis infections and cross-contamination in sequencing data from tuberculosis diagnostic labs.

bioRxiv · Jun 12, 2018Microbiology

A quantitative evaluation of MIRU-VNTR typing against whole-genome sequencing for identifying Mycobacterium tuberculosis transmission: A prospective observational cohort study

D. Wyllie, J. Davidson, T. Walker, P. Rathod, T. Peto, E. Robinson, D. W. Crook, G. Smith, C. Campbell

This study evaluates MIRU-VNTR typing against whole-genome sequencing to identify Mycobacterium tuberculosis transmission, finding low predictive value of MIRU-VNTR and lineage-specific performance.

bioRxiv · Jan 24, 2018Microbiology