Gene Ching Chiek Koh (Gene Koh, Gene C C Koh, Ching Chiek Koh, Serena Nik-Zainal)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 6

Top Topics

Childhood Cancer

Drug Administration

Dna Methylation

Top Venues

Nature communications

Nature reviews. Cancer

Scientific reports

This page only lists publications with an associated author ORCID identifier.

Publications

Shadi Basyuni, Laura Heskin, Andrea Degasperi, Daniella Black, Gene Ching Chiek Koh, Lucia Chmelova, Giuseppe Rinaldi, Steven Bell, Louise Grybowicz, Greg Elgar, Yasin Memari, Pauline Robbe, Zoya Kingsbury, Carlos Caldas, Jean E Abraham, Anna Schuh, Louise Jones, null null, null null, Marc Tischkowitz, Matthew A Brown, Helen R Davies, Serena Nik-Zainal
Large-scale analysis of whole genome sequencing data from formalin-fixed paraffin-embedded cancer specimens demonstrates preservation of clinical utility. Nature communications 15 (1) (2024)
Gene Ching Chiek Koh, Soraya Boushaki, Salome Jingchen Zhao, Andrew Marcel Pregnall, Firas Sadiyah, Cherif Badja, Yasin Memari, Ilias Georgakopoulos-Soares, Serena Nik-Zainal
The chemotherapeutic drug CX-5461 is a potent mutagen in cultured human cells. Nature genetics (2023)
Gene Ching Chiek Koh, Andrea Degasperi, Xueqing Zou, Sophie Momen, Serena Nik-Zainal
Mutational signatures: emerging concepts, caveats and clinical applications. Nature reviews. Cancer 21 (10) (2021)
Ilias Georgakopoulos-Soares, Gene Ching Chiek Koh, Sophie E Momen, Josef Jiricny, Martin Hemberg, Serena Nik-Zainal
Transcription-coupled repair and mismatch repair contribute towards preserving genome integrity at mononucleotide repeat tracts. Nature communications 11 (1) (2020)
Gene Koh, Xueqing Zou, Gene Ching Chiek Koh
Mutational signatures: experimental design and analytical framework. Genome biology 21 (1) (2020)
Li Li, Gene Ching Chiek Koh, Daniel Reker, J B Brown, Haishuai Wang, Nicholas Keone Lee, Hien-Haw Liow, Hao Dai, Huai-Meng Fan, Luonan Chen, Dong-Qing Wei
Predicting protein-ligand interactions based on bow-pharmacological space and Bayesian additive regression trees. Scientific reports 9 (1) (2019)