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Alignment BAM files and gene count files of the Illumina Sequencing Data (10 tumor samples)

Reads were processed with the RNA-seq workflow 1.3.0 developed by the DKFZ Omics IT and Data Management Core Facility (https://github.com/DKFZ-ODCF/RNAseqWorkflow). First, FASTQ reads were aligned via two-pass alignment using STAR 2.5.3a. The STAR index was generated from the 1000 Genomes assembly and GENCODE Version 19 gene models with a sjdbOverhang of 200. Duplicate marking of the resultant main alignment file was done with sambamba 0.6.5. Gene-specific read counting was performed using featureCounts (from Subread 1.5.1) over exon features based on GENCODE Version 19 gene models. Both reads of a paired fragment were used for counting, and the quality threshold was set to 255, indicating that STAR found a unique alignment. Strand-specific counting was also used. For RPKM and TPM calculations, all genes on chromosomes X and Y, the mitochondrial genome, as well as rRNA and tRNA genes were omitted as they are likely to introduce library size estimation biases.

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Data Transfer Agreement for the German Cancer Research Center

To request access to the dataset please start a Data Access Request via the EGA DAC Portal. You will receive a HIPO DACO Info Form by email to collect information about the request, which has to be filled completely and signed by your PI. Your request will be evaluated by the responsible Data Access Committee (DAC) and our Data protection department (and innovation management if required). As soon as a positive decision is made, you will be provided with a data transfer agreement (DTA). After the DTA has been fully signed, access to the requested data is granted. To ensure that the process can be completed as quickly as possible, please note the following points: 1. The request in the EGA portal must be made by the responsible PI. 2. The information in the EGA portal must match the information on the HIPO DACO Info Form. In particular, the email address and the requested data sets must match. It is also important that all requested data sets are also listed on the HIPO DACO Info Form. For-profit companies are charged a fee per request.

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
Cancer Genomics

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
EGAF00006211218 1655208927636 11.0 MB
EGAF00006211219 1655219721212 74.2 GB
EGAF00006211220 1655208927636 11.2 MB
EGAF00006211221 1655219721212 64.6 GB
EGAF00006211222 1655208927636 10.2 MB
EGAF00006211223 1655217921260 11.2 GB
EGAF00006211224 1655208927636 10.4 MB
EGAF00006211225 1655213422262 11.4 GB
EGAF00006211226 1655208927636 11.1 MB
EGAF00006211227 1655217021412 57.1 GB
EGAF00006211228 1655208927635 9.9 MB
EGAF00006211229 1655216121821 6.3 GB
EGAF00006211230 1655208927636 9.2 MB
EGAF00006211231 1655211622077 8.9 GB
EGAF00006211232 1655208927636 10.1 MB
EGAF00006211233 1655215221458 13.8 GB
EGAF00006211234 1655208927636 10.2 MB
EGAF00006211235 1655212522094 8.3 GB
EGAF00006211236 1655208927636 10.1 MB
EGAF00006211237 1655211622077 7.9 GB
EGAF00006211238 1655208927636 6.2 MB
EGAF00006211239 1655208927636 13.8 MB
EGAF00006211240 1655208927636 13.9 MB
EGAF00006211241 1655208927636 13.8 MB
EGAF00006211242 1655208927636 6.5 MB
EGAF00006211243 1655208927636 7.0 MB
EGAF00006211244 1655208927636 5.9 MB
EGAF00006211245 1655208927636 5.9 MB
EGAF00006211246 1655208927636 4.7 MB
EGAF00006211247 1655205321799 6.3 MB
30 Files (263.9 GB)