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Title: COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients
Author: Díez Villanueva, Anna
Sanz Pamplona, Rebeca
Solé, Xevi
Cordero, David
Crous Bou, Marta
Guinó, Elisabet
Lopez Doriga, 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
Keywords: Còlon
Micro RNAs
Issue Date: 1-Oct-2022
Publisher: Springer Science and Business Media LLC
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 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.
Note: Reproducció del document publicat a:
It is part of: Scientific Data, 2022, vol. 9, issue. 1
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ISSN: 2052-4463
Appears in Collections:Articles publicats en revistes (Institut de Recerca en Sistemes Complexos (UBICS))
Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))
Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)

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