The genomic landscape of early-stage ovarian high-grade serous carcinoma Z Cheng, H Mirza, DP Ennis, P Smith, L Morrill Gavarró, C Sokota, ... Clinical Cancer Research 28 (13), 2911-2922, 2022 | 27 | 2022 |
Divergence in transcriptional and regulatory responses to mating in male and female fruitflies EK Fowler, T Bradley, S Moxon, T Chapman Scientific reports 9 (1), 16100, 2019 | 26 | 2019 |
The copy number and mutational landscape of recurrent ovarian high-grade serous carcinoma P Smith, T Bradley, LM Gavarró, T Goranova, DP Ennis, HB Mirza, ... Nature Communications 14 (1), 4387, 2023 | 11 | 2023 |
Absolute copy number fitting from shallow whole genome sequencing data CM Sauer, MD Eldridge, M Vias, JA Hall, S Boyle, G Macintyre, T Bradley, ... bioRxiv, 2021.07. 19.452658, 2021 | 10 | 2021 |
FilTar: Using RNA-Seq data to improve microRNA target prediction accuracy in animals T Bradley, S Moxon Bioinformatics 36 (8), 2410-2416, 2020 | 7 | 2020 |
An assessment of the next generation of animal miRNA target prediction algorithms T Bradley, S Moxon MicroRNA Detection and Target Identification: Methods and Protocols, 175-191, 2017 | 6 | 2017 |
Molecular landscape and functional characterization of centrosome amplification in ovarian cancer CM Sauer, JA Hall, DL Couturier, T Bradley, AM Piskorz, J Griffiths, ... Nature Communications 14 (1), 6505, 2023 | 1 | 2023 |
MO71-1 Systematic quantification of ovarian tumour heterogeneity using an in silico tissue microarray approach M Reinius, A Crombé, T Bradley, R Barker-Clarke, M Crispin-Ortuzar, ... Annals of Oncology 34, S1439-S1440, 2023 | | 2023 |
Investigating the microRNA-mediated regulation of protein-coding transcripts in animals using RNA-Seq data T Bradley University of East Anglia, 2020 | | 2020 |