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Whole exome Sequencing (WES) of multiple tumor biopsies, patient-derived spheroids and leukocyte DNA from colorectal cancer patients (BAM files)

WES was performed using the KAPA-Hyper prep kit from Illumina (Roche, Basel, Switzerland) for library construction, followed by exome capture using Niblegen SeqCap EZ Human Exome Library v3.0 (Roche). Reads were mapped using BWA MEM against the humane reference genome HG19.

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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
ID File Type Size Located in
EGAF00001794444 bam 19.9 GB
EGAF00001794445 bam 20.7 GB
EGAF00001794446 bam 11.2 GB
EGAF00001794447 bam 11.5 GB
EGAF00001794448 bam 11.5 GB
EGAF00001794449 bam 21.0 GB
EGAF00001794450 bam 23.9 GB
EGAF00001794451 bam 30.0 GB
EGAF00001794452 bam 24.9 GB
EGAF00001794453 bam 24.9 GB
EGAF00001794454 bam 10.9 GB
EGAF00001794455 bam 12.0 GB
EGAF00001794456 bam 15.2 GB
EGAF00001794457 bam 28.8 GB
EGAF00001794458 bam 6.6 GB
EGAF00001794459 bam 14.2 GB
EGAF00001794460 bam 14.9 GB
EGAF00001794461 bam 11.9 GB
EGAF00001794462 bam 15.5 GB
EGAF00001794463 bam 15.9 GB
EGAF00001794464 bam 10.4 GB
EGAF00001794465 bam 11.7 GB
EGAF00001794466 bam 11.1 GB
EGAF00001794467 bam 31.5 GB
EGAF00001794468 bam 12.7 GB
EGAF00001794469 bam 13.7 GB
EGAF00001794470 bam 14.0 GB
EGAF00001794471 bam 13.7 GB
EGAF00001794472 bam 14.8 GB
EGAF00001794473 bam 12.3 GB
EGAF00001794474 bam 13.5 GB
EGAF00001794475 bam 14.8 GB
EGAF00001794476 bam 13.5 GB
EGAF00001794477 bam 11.7 GB
EGAF00001794478 bam 16.0 GB
EGAF00001794479 bam 23.8 GB
EGAF00001794480 bam 7.7 GB
EGAF00001794481 bam 10.8 GB
EGAF00001794482 bam 9.2 GB
EGAF00001794483 bam 9.8 GB
EGAF00001794484 bam 10.7 GB
EGAF00001794485 bam 9.9 GB
42 Files (642.6 GB)