Author

R. Sadsad

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· 3

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 3 Approach:statistical model· 2 Research Focus:variant calling· 2 Organism:virus· 2 Approach:benchmark study· 1 Approach:experimental assay· 1 Research Focus:phylogenetics / evolution· 1 Research Focus:transcription & RNA processing· 1

Frequent Co-Authors

V. Sintchenko· 3 shared A. Arnott· 2 shared C. Lam· 2 shared D. E. Dwyer· 2 shared J. Kok· 2 shared K. Basile· 2 shared K.-A. Gray· 2 shared M. Gall· 2 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

V. Sintchenko

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

SARS-CoV-2 Genome Sequencing Methods Differ In Their Ability To Detect Variants From Low Viral Load Samples

C. Lam, K.-A. Gray, M. Gall, R. Sadsad, A. Arnott, J. Johnson-Mackinnon, W. Fong, K. Basile, J. Kok, D. E. Dwyer, V. Sintchenko, R. J. Rockett

This study compares three SARS-CoV-2 sequencing methods for their ability to detect variants from low viral load samples, finding that ARTIC v3 is most sensitive.

bioRxiv · May 1, 2021Microbiology

Comparison of library preparation and sequencing depths for direct sequencing of Bordetella pertussis positive samples

W. Fong, K. Pey, R. Rockett, R. Sadsad, V. Sintchenko, V. Timms

This study evaluates WGS library preparation methods for direct sequencing of B. pertussis clinical samples, finding that the Illumina DNA prep kit with deep sequencing detects vaccine antigen variations and macrolide resistance.

bioRxiv · Feb 14, 2021 · PreprintMicrobiology

REVEALING COVID-19 TRANSMISSION BY SARS-CoV-2 GENOME SEQUENCING AND AGENT BASED MODELLING

R. J. Rockett, A. Arnott, C. Lam, R. Sadsad, V. Timms, K.-A. Gray, J.-S. Eden, S. L. Chang, M. Gall, J. Draper, E. Sim, N. L. Bachmann, I. Carter, K. Basile, R. Byun, , V. Sintchenko

The paper uses SARS-CoV-2 genome sequencing and agent-based modeling to estimate local transmission rates during the early stages of the COVID-19 outbreak in New South Wales.

bioRxiv · Apr 19, 2020 · PreprintMicrobiology