MCO colorectal cancer genomics at UNSW

This dataset contains DNA sequencing data from 95 colorectal cancer and matched-normal samples. The dataset contains targeted deep sequencing of selected regulatory elements in 95 cancer and matched-normal samples, and data for one sample that was additionally whole-genome sequenced (cancer and matched-normal).

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 2 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001004582	This dataset contains DNA sequencing data from 95 colorectal cancer and matched-normal samples. The dataset contains targeted deep sequencing of selected regulatory elements in 95 cancer and matched-normal samples, and data for one sample that was additionally whole-genome sequenced (cancer and matched-normal).	Illumina HiSeq 2000	192

Publications	Citations
Scarcity of Recurrent Regulatory Driver Mutations in Colorectal Cancer Revealed by Targeted Deep Sequencing. Poulos RC, Perera D, Packham D, Shah A, Janitz C, Pimanda JE, Hawkins N, Ward RL, Hesson LB, Wong JWH. JNCI Cancer Spectr 3: 2019 pkz012	2
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application. Mokoatle M, Marivate V, Mapiye D, Bornman R, Hayes VM. BMC Bioinformatics 24: 2023 112	4