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Somatic mutation analysis based on Whole exome Sequencing (WES) of multiple tumor biopsies, patient-derived spheroids and leukocyte DNA from colorectal cancer patients (vcf files)

Somatic mutations were called using whole exome Sequencing (WES) data from colorectal cancer samples (dataset EGAD00001003821) using MuTect2, with matched constitutional WES-data obtained from leukocytes samples as reference.

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MOMA DAC Access Policy

This document specifies the policy for granting access to the European Genome-phenome Archive (EGA) secure Web based tools for managing data access permissions to the data stored in the EGA database. Access is granted to those Data Access Committee members named in this document by Paul Flicek, head of Genes, Genomes and Variation.Conditions of access:The account holder will abide by all current and future policies of the EBI for computer use as well as computer use policies of the European Molecular Biology Laboratory (EMBL), of which the EBI is a part. All EGA specific policies and standard operating procedures (SOPs) must also be followed. All applicable policies will be provided to the authorized users. Method of access:The EBI will create a personal account for the authorized person. The account username and password together with a RSA key provide access to the secure EGA infrastructure. A separate document with detailed guidelines on how to access and use these tools is provided to each account holder. The EGA help-desk provides training when needed.Review:All individuals will access to the EGA user authorization tools will be reviewed annually by Paul Flicek. Any staff changes affecting the authorized person must be provided immediately to Paul Flicek ( Data Access Committee user:Henrik Hornshøj ( and Søren Vang ( of Molecular Medicine (MOMA), Aarhus University Hospital, Brendstrupgårdsvej 100, 8200 Aarhus N, Denmark

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001002684 Other

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF00001795751 vcf.gz 819.5 kB
EGAF00001795752 vcf.gz 569.8 kB
EGAF00001795753 vcf.gz 677.6 kB
EGAF00001795754 vcf.gz 708.6 kB
EGAF00001795755 vcf.gz 521.6 kB
EGAF00001795756 vcf.gz 643.1 kB
EGAF00001795757 vcf.gz 740.4 kB
EGAF00001795758 vcf.gz 737.0 kB
EGAF00001795759 vcf.gz 680.7 kB
EGAF00001795760 vcf.gz 691.8 kB
EGAF00001795761 vcf.gz 552.0 kB
EGAF00001795762 vcf.gz 843.8 kB
EGAF00001795763 vcf.gz 371.4 kB
EGAF00001795764 vcf.gz 633.6 kB
EGAF00001795765 vcf.gz 841.1 kB
EGAF00001795766 vcf.gz 744.4 kB
EGAF00001795767 vcf.gz 824.4 kB
EGAF00001795768 vcf.gz 816.7 kB
EGAF00001795773 vcf.gz 665.1 kB
EGAF00001795774 vcf.gz 732.7 kB
EGAF00001795775 vcf.gz 626.0 kB
EGAF00001795776 vcf.gz 1.1 MB
EGAF00001795777 vcf.gz 744.1 kB
EGAF00001795778 vcf.gz 758.4 kB
EGAF00001795779 vcf.gz 747.7 kB
EGAF00001795780 vcf.gz 700.8 kB
EGAF00001795781 vcf.gz 777.7 kB
EGAF00001795782 vcf.gz 711.9 kB
EGAF00001795783 vcf.gz 738.9 kB
EGAF00001795784 vcf.gz 668.1 kB
EGAF00001795785 vcf.gz 888.6 kB
EGAF00001795786 vcf.gz 434.5 kB
EGAF00001795795 vcf.gz 578.5 kB
EGAF00001795796 vcf.gz 502.6 kB
EGAF00001795797 vcf.gz 569.6 kB
EGAF00001795798 vcf.gz 599.6 kB
EGAF00001795799 vcf.gz 572.2 kB
37 Files (25.5 MB)