Author

Fiona Semple

Edinburgh Cancer Research

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

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Genomics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:variant calling· 2 Assay:ATAC-seq· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Colin A M SempleiD· 2 shared Ailith EwingiD· 1 shared Alastair J. Ironside· 1 shared Alison M. MeynertiD· 1 shared David R FitzPatrickiD· 1 shared Deciphering Developmental Disorders Study· 1 shared Devin P Bendixsen· 1 shared Lana TalmaneiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersGenomics

Colin A M SempleORCID

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2 papers

Recent·Most cited

Frequent Whole-Genome Duplication Events Drive the Genomic Evolution of Triple-Negative Breast Cancer During Neoadjuvant Chemotherapy

Devin P Bendixsen, Fiona Semple, Alastair J. Ironside, Mustafa İsmail Özkaraca, Natalie Wilson, Alison M. Meynert, Ailith Ewing, Colin A M Semple, Olga Oikonomidou

This study tracks genomic changes in TNBC during neoadjuvant chemotherapy, finding that whole-genome duplication events drive structural alterations and contribute to tumor evolution and response to treatment.

bioRxiv · Nov 17, 2025 · PreprintGenomics

Mutational bias in spermatogonia impacts the anatomy of regulatory sites in the human genome

Vera B. Kaiser, Lana Talmane, Yatendra Kumar, Fiona Semple, Marie MacLennan, Deciphering Developmental Disorders Study, David R FitzPatrick, Martin S. Taylor, Colin A M Semple

The paper identifies mutational biases at germline regulatory sites, showing increased structural variants and insertions at transcription factor binding sites, with implications for evolution and disease.

Genome Research · Nov 1, 2021Peer-reviewedGenomics