COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients.

ABSTRACT: Colonomics is a multi-omics dataset that includes 250 samples: 50 samples from healthy colon mucosa donors and 100 paired samples from colon cancer patients (tumor/adjacent). From these samples, Colonomics project includes data from genotyping, DNA methylation, gene expression, whole exome sequencing and micro-RNAs (miRNAs) expression. It also includes data from copy number variation (CNV) from tumoral samples. In addition, clinical data from all these samples is available. The aims of the project were to explore and integrate these datasets to describe colon cancer at molecular level and to compare normal and tumoral tissues. Also, to improve screening by finding biomarkers for the diagnosis and prognosis of colon cancer. This project has its own website including four browsers allowing u

SUBMITTER: Diez-Villanueva A 

PROVIDER: S-EPMC9526730 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature