Author

J. Perner

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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Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:whole-exome sequencing· 2 Research Focus:cell type annotation· 1 Organism:Drosophila· 1

Frequent Co-Authors

A. M. Frankell· 1 shared C. Yau· 1 shared D. Hartmann· 1 shared D. Sojka· 1 shared D. Temelkovski· 1 shared E. Foxall· 1 shared E. Ococks· 1 shared F. D. Ciccarelli· 1 shared

Activity by Year

2018-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperCancer Biology

A. M. Frankell

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Author profile →

3 papers

Recent·Most cited

Integrative assessment of the transcriptome and virome of the poultry red mite Dermanyssus gallinae.

J. M. Ribeiro, D. Hartmann, P. Bartosova-Sojkova, H. J. Debat, M. Moos, P. Simek, J. Fara, M. Palus, M. Kucera, O. Hajdusek, D. Sojka, P. Kopacek, J. Perner

This study constructs transcriptomes and identifies a novel virus in Dermanyssus gallinae to understand its biology and potential targets for control.

bioRxiv · Apr 21, 2022Microbiology

Patient-specific detection of cancer genes reveals recurrently perturbed processes in esophageal adenocarcinoma

T. Mourikis, L. Benedetti, E. Foxall, D. Temelkovski, J. Nulsen, J. Perner, M. Cereda, J. Lagergren, M. Howell, C. Yau, R. Fitzgerald, P. Scaffidi, F. D. Ciccarelli

This study identifies patient-specific cancer genes in esophageal adenocarcinoma using machine learning, revealing recurrent process perturbations that suggest therapeutic targets.

bioRxiv · Oct 17, 2018 · PreprintCancer Biology

The landscape of selection in 551 Esophageal Adenocarcinomas defines genomic biomarkers for the clinic

A. M. Frankell, S. Jammula, X. Li, G. Contino, S. S. Killcoyne, S. Abbas, J. Perner, L. Bower, G. Devonshire, E. Ococks, N. Grehan, J. Mok, M. O'Donovan, S. Macrae, M. Eldridge, , The Oesophageal Cancer Clinical and Molecular Stratification (OCCAMS) Consortium

This study identifies 77 driver genes and 21 non-coding driver elements in 551 Esophageal Adenocarcinomas, linking them to clinical outcomes and therapeutic targets.

bioRxiv · Aug 15, 2018Cancer Biology