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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/190194
COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients
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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 users to explore Colonomics datasets. Since generated data could be reuse for the scientific community for exploratory or validation purposes, here we describe omics datasets included in the Colonomics project as well as results from multi-omics layers integration.
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DÍEZ VILLANUEVA, Anna, SANZ PAMPLONA, Rebeca, SOLÉ, Xevi, CORDERO, David, CROUS BOU, Marta, GUINÓ, Elisabet, LÓPEZ DÓRIGA GUERRA, Adriana, BERENGUER, Antoni, AUSSÓ, Susanna, PARÉ, Laia, OBÓN SANTACANA, Mireia, MORATALLA NAVARRO, Ferran, SALAZAR SOLER, Ramón, SANJUAN, Xavier, SANTOS, Cristina, BIONDO, Sebastián, DIEZ OBRERO, Virginia, GARCIA SERRANO, Ainhoa, ALONSO AGUADO, Maria henar, CARRERAS TORRES, Robert, CLOSA, Adria, MORENO AGUADO, Víctor. COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients. _Scientific Data_. 2022. Vol. 9, núm. 1. [consulta: 25 de febrer de 2026]. ISSN: 2052-4463. [Disponible a: https://hdl.handle.net/2445/190194]