Dataset for "HPV integration induces gene fusions" (RNA)
RNA-seq data for "HPV integration induces gene fusions" We performed RNA-seq analysis of five HPV+ head and neck cancer samples using Illumina short reads. Sequenced are submitted in bam format. We also sequenced one samples with pacBio long reads, and the reads are submitted in fastq format.
- 14/05/2025
- 5 samples
- DAC: EGAC00001000141
- Technology: Sequel II
THE HPV VIROME CONSORTIUM - DATA ACCESS AND USE AGREEMENT
European Genome-Phenome Archive c/o European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SD United Kingdom To whom it may concern, This document refers to the data sets which have been submitted to the European Genome Archive (EGA) for the restricted access by scientists working at legitimate academic institutions who have agreed to comply with the terms of a Data Access Agreement drafted by the HPV Virome Consortium Data Access Committee. There are a number of steps that a researcher must take to obtain access to this data. The process is overseen by our Data Access Committee, called the HPV Virome Consortium Data Access Committee. To reach the committee, please email Dr. David Symer at david.symer@osumc.edu or at desymer@icloud.com. Please be advised that we the undersigned investigators each are authorized to upload data to the EGA for archiving and distribution as part of your submission process, which will enable approved researchers to have encrypted access to the data. We confirm that this submission is consistent with the informed consent of the participants of the study and to the best of our knowledge is in accordance with applicable laws and regulations. Sincerely, David E. Symer, M.D., Ph.D. Maura L. Gillison, M.D., Ph.D. Keiko Akagi, Ph.D.
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 |
|---|---|---|
| EGAS00001003237 | Other | |
| EGAS50000000892 | Cancer Genomics |