Author

R. Clifford

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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Cancer Biology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Assay:whole-genome sequencing· 2 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

A. Schuh· 2 shared A. Burns· 1 shared A. Castor· 1 shared A. Correia· 1 shared A. Ho· 1 shared A. Marciniak-Czochra· 1 shared A. Timbs· 1 shared A. Trumpp· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersCancer Biology

A. Schuh

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Complex genotype-phenotype relationships shape the response to treatment of Down Syndrome Childhood Acute Lymphoblastic Leukaemia

C. Lutz, V. A. Turati, R. Clifford, P. S. Woll, T. Stiehl, A. Castor, S. A. Clark, H. Ferry, V. Buckle, A. Trumpp, A. Ho, A. Marciniak-Czochra, J. Herrero, A. Schuh, S. E. W. Jacobsen, T. Enver

This study investigates genotype-phenotype relationships in Down Syndrome ALL, showing that genetic and phenotypic heterogeneity influences treatment response and relapse through clonal competition.

bioRxiv · Feb 6, 2022Cancer Biology

Known mechanisms account for less than half of antimicrobial resistance in a diverse collection of non-aureus staphylococci.

H. Felgate, L. C. Crossman, E. Gray, R. Clifford, A. Correia, R. Dean, J. Wain, G. C. Langridge

The study identifies that known resistance mechanisms explain less than half of antimicrobial resistance in non-aureus staphylococci, highlighting gaps in understanding resistance gene spread and clinical implications.

bioRxiv · Jun 22, 2021 · PreprintMicrobiology

The diagnostic chronic lymphocytic leukaemia genome by nanopore sequencing

A. Burns, D. Disalvo-Williams, D. Bruce, P. Robbe, A. Timbs, B. Stamatopoulos, R. Clifford, M. Lopopolo, D. Parkes, K. Ridout, A. Schuh

This paper presents a nanopore-based assay for CLL diagnostics, showing it can detect TP53 mutations, del17p13.1, and IgHV status in one run with high accuracy.

bioRxiv · Aug 28, 2019 · PreprintCancer Biology