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Shallow Whole Genome Sequencing (sWGS) of pancreatic ductal adenocarcinoma

Associated with CNA differences between RNA-based subtypes of PDAC. Shallow Whole Genome Sequencing (sWGS) generated 47 .bam files from 37 patients. sWGS was used for Copy number aberrations (CNA) determination.

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Data originating from patient samples

The Amsterdam UMC, tumor genome analysis core, allows access to published datasets upon written application and signature of a Data Access Agreement (DAA). In addition, applications to clinical datasets require approval by a Data Access Committee (DAC), who assess whether the proposed work is allowed given patient consent, as well as the scientific purpose. To aid this process we ask you to provide the information below. Requests will be prioritised according to novelty of the research question. Applications with insufficient detail on objectives, justification, and methods/planned analyses are unlikely to be accepted. 1. Reference number for the dataset 2. Full legal name and address of university/institution 3. Name(s) of the Principle Investigator who will use the data: 4. Name(s) and job title(s) of any other investigators who will use the data: 5. Please provide a minimum of one reference to a publication that can be found on PubMed and where the Principle Investigator is an author: 6. How will the data be stored and where will it be stored? 7. What is the proposed study title and what are the objectives and outcomes of the study in which the data will be used 8. Please provide a brief justification or rationale for the proposed study (max 250 words): 9. Please provide a brief description of planned data analyses (max 250 words): 10. Will the results arising from use of the data be used for the creation of products for sale or for any commercial purpose?

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
EGAS50000001218 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 Quality Report
Located in
EGAF50000420906 bam 448.0 MB
EGAF50000420907 bam 407.3 MB
EGAF50000420908 bam 356.0 MB
EGAF50000420909 bam 419.2 MB
EGAF50000420910 bam 468.7 MB
EGAF50000420911 bam 415.7 MB
EGAF50000420912 bam 1.8 GB
EGAF50000420913 bam 380.7 MB
EGAF50000420914 bam 1.5 GB
EGAF50000420915 bam 366.5 MB
EGAF50000420916 bam 418.5 MB
EGAF50000420917 bam 399.0 MB
EGAF50000420918 bam 217.9 MB
EGAF50000420919 bam 315.9 MB
EGAF50000420920 bam 325.1 MB
EGAF50000420921 bam 386.0 MB
EGAF50000420922 bam 417.6 MB
EGAF50000420923 bam 191.9 MB
EGAF50000420924 bam 365.2 MB
EGAF50000420925 bam 345.6 MB
EGAF50000420926 bam 443.0 MB
EGAF50000420927 bam 457.4 MB
EGAF50000420928 bam 232.4 MB
EGAF50000420929 bam 344.5 MB
EGAF50000420930 bam 445.9 MB
EGAF50000420931 bam 1.0 MB
EGAF50000420932 bam 511.3 MB
EGAF50000420933 bam 478.9 MB
EGAF50000420934 bam 326.7 MB
EGAF50000420935 bam 331.2 MB
EGAF50000420936 bam 527.6 MB
EGAF50000420937 bam 314.7 MB
EGAF50000420938 bam 518.1 MB
EGAF50000420939 bam 486.8 MB
EGAF50000420940 bam 265.2 MB
EGAF50000420941 bam 2.1 GB
EGAF50000420942 bam 276.0 MB
EGAF50000420943 bam 349.4 MB
EGAF50000420944 bam 335.6 MB
EGAF50000420945 bam 420.4 MB
EGAF50000420946 bam 299.4 MB
EGAF50000420947 bam 313.1 MB
EGAF50000420948 bam 462.4 MB
EGAF50000420949 bam 292.5 MB
EGAF50000420950 bam 5.3 MB
EGAF50000420951 bam 392.4 MB
EGAF50000420952 bam 501.2 MB
47 Files (21.4 GB)