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RNAseq data

RNAseq data for 10 patients: 10 tumors and 10 cell lines

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Data Access Policy for NGS data

European Genome-phenome Archive European Bioinformatics Institute European Molecular Biology Laboratory Wellcome Trust Genome Campus Hinxton, Cambridge, CB10 1SD United Kingdom 18/7/16 ICM, Hôpital Pitié Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris GlioTeX-ICM, EGAC00001000513 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 helpdesk provides training when needed. Review: All individuals 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 (flicek@ebi.ac.uk). Authorized Data Access Committee user: Dr. Ahmed Idbaih Service de Neurologie 2-Mazarin, 47/83 Boulevard de l’Hôpital, 75013 Paris, France ahmed.idbaih@aphp.fr Supervisor of Authorized user: Dr. Ahmed Idbaih Principle investigator of GlioTeX project ahmed.idbaih@aphp.fr

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
EGAS00001001871 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 Quality Report
Located in
EGAF00001308487 fastq.gz 10.6 GB Report
EGAF00001308488 fastq.gz 10.9 GB Report
EGAF00001308489 fastq.gz 8.9 GB Report
EGAF00001308490 fastq.gz 9.2 GB Report
EGAF00001308491 fastq.gz 8.9 GB Report
EGAF00001308492 fastq.gz 9.2 GB Report
EGAF00001308493 fastq.gz 10.1 GB Report
EGAF00001308494 fastq.gz 10.2 GB Report
EGAF00001308495 fastq.gz 12.5 GB Report
EGAF00001308496 fastq.gz 12.9 GB Report
EGAF00001308497 fastq.gz 12.3 GB Report
EGAF00001308498 fastq.gz 12.5 GB Report
EGAF00001308499 fastq.gz 10.5 GB Report
EGAF00001308500 fastq.gz 10.6 GB Report
EGAF00001308501 fastq.gz 7.7 GB Report
EGAF00001308502 fastq.gz 7.9 GB Report
EGAF00001308503 fastq.gz 13.0 GB Report
EGAF00001308504 fastq.gz 13.4 GB Report
EGAF00001308505 fastq.gz 8.4 GB Report
EGAF00001308506 fastq.gz 8.7 GB Report
EGAF00001308507 fastq.gz 12.1 GB Report
EGAF00001308508 fastq.gz 12.2 GB Report
EGAF00001308509 fastq.gz 12.1 GB Report
EGAF00001308510 fastq.gz 12.1 GB Report
EGAF00001308511 fastq.gz 11.1 GB Report
EGAF00001308512 fastq.gz 11.2 GB Report
EGAF00001308513 fastq.gz 12.2 GB Report
EGAF00001308514 fastq.gz 12.3 GB Report
EGAF00001308515 fastq.gz 14.3 GB Report
EGAF00001308516 fastq.gz 14.8 GB Report
EGAF00001308517 fastq.gz 12.4 GB Report
EGAF00001308518 fastq.gz 12.7 GB Report
EGAF00001308519 fastq.gz 12.9 GB Report
EGAF00001308520 fastq.gz 13.3 GB Report
EGAF00001308521 fastq.gz 12.4 GB Report
EGAF00001308522 fastq.gz 12.8 GB Report
EGAF00001308523 fastq.gz 13.6 GB Report
EGAF00001308524 fastq.gz 14.0 GB Report
EGAF00001308525 fastq.gz 14.4 GB Report
EGAF00001308526 fastq.gz 14.8 GB Report
40 Files (466.0 GB)