Author

Timothy Best

Great Ormond Street Hospital

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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Genetic & Genomic Medicine· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Cristina VenturiniiD· 2 shared Judith BreueriD· 2 shared Austen J. J. WorthiD· 1 shared Calum ForrestiD· 1 shared Charles M. MilleriD· 1 shared Charlotte A. WilliamsiD· 1 shared Claire E. AtkinsoniD· 1 shared Douglas ThorburniD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Cristina VenturiniORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Evaluating metagenomics and targeted approaches for diagnosis and surveillance of viruses

Sarah Buddle, Leysa Forrest, Naomi Akinsuyi, Luz Marina Martin Bernal, Tony Brooks, Cristina Venturini, Charles M. Miller, Julianne Rose Brown, Nathaniel Storey, Laura Atkinson, Timothy Best, Sunando Roy, Sian Goldsworthy, Sergi Castellano, Peter Simmonds K, , Oscar Enrique Torres Montaguth

This study compares metagenomics and targeted approaches for virus detection, finding that targeted methods improve sensitivity while untargeted ONT offers better specificity.

Genome Medicine · Sep 9, 2024Peer-reviewedGenetic & Genomic Medicine

Persistent low-level variants in a subset of HCMV genes are highly predictive of poor outcome in immunocompromised patients with cytomegalovirus infection

Cristina Venturini, Julia Colston, Oscar J. Charles, Timothy Best, Claire E. Atkinson, Calum Forrest, Charlotte A. Williams, Kanchan Rao, Austen J. J. Worth, Douglas Thorburn, Mark A Harber, P. D. Griffiths, Judith Breuer

The paper identifies a viral signature from HCMV genes associated with poor outcomes in immunocompromised patients, using deep sequencing and machine learning.

medRxiv · Sep 12, 2022 · PreprintGenetic & Genomic Medicine