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• Genome Denmark Phase II - alignments

  Alignment of Genome Denmark Phase II dataset to GRCh38. The dataset consists of 150 Danish individuals (50 trios) sequenced to 80X. The BAM-file contains data from multiple libraries created from one individual with libraries of 180, 500, 800, 2000, 5000, 10000 and 20000 bp. The libraries were created using standard Illumina protocols for paired end reads (180-800bp libraries) and mate pair libraries (2kb-20kb).

  Dataset EGAD00001003157

• GATCI whole genome germline variants

  Sequence data in fastq format was aligned to the GRCh38 reference genome with BWA-MEM and preprocessed with GATK for indel realignment and base quality score recalibration. Aligned sequence was analyzed with GATK HaplotypeCaller to generate germline variant calls. Variant calls are in VCF format. In total, there are 60 tumour samples from 38 patients, all with matched normal. Further details can be found in the vcf headers

  Dataset EGAD00001005817

• Exome sequencing of 102 gastric cancer and matched normal from Japanese cohorts (YCU)

  As a contribution to the International Cancer Genome Consortium, exome sequencing of 102 Japanese gastric cancer with various histological subtypes have been conducted. This study aims to identify unique and common driver genes and molecular subtypes in Japanese gastric cancer. Please refer ICGC website for detail: http://icgc.org/icgc/cgp/69/420/1012357

  Dataset EGAD00001004042

• ChIP sequencing data to study therapeutic targeting of ependymoma

  This dataset contains ChIP sequencing data from 24 patients. ChIP of 5–10 mg flash-frozen primary ependymoma tumour was performed using 5 mg H3K27ac antibody per ChIP experiment. The enriched DNA has been sequenced on a Illumina HiSeq2000 instrument in paired-end mode. Up to two lanes per sample have been sequenced resulting in 70 Fastq files.

  Dataset EGAD00001003979

• ATAC-SEQ MAIN - PHASE 1

  This is a study to test ATAC-seq protocols. CD4+ and CD8+ cells have been obtained from three different anatomical compartments. We aim to assay open-chromatin regions across these cells and perform comparative analyses.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Dataset EGAD00001001320

• Acute myeloid leukemia whole exome sequencing (Diagnosis, Complete Remission and Relapse)

  To gain insight into the clonal heterogeneity of diagnosis (Dx) and relapse (Re) pairs, we employed whole exome sequencing to longitudinally profile two t(8;21) (AML1-ETO = RUNX1-RUNX1T1), and four FLT3-ITD AML cases. All the samples are bone marrow aspirates.

  Dataset EGAD00001008375

• Radiotherapy induced Sarcoma exome (2017-05-17)

  Whole exome library making will be performed on genomic DNA derived from radiotherapy induced sarcoma samples and matched normal DNA from the same patients. Next Generation sequencing will be performed on the resulting libraries and mapped to build 37 of the human reference genome to facilitate the identification of mutations This dataset contains all the data available for this study on 2017-05-17.

  Dataset EGAD00001003339

• Targeted DNA sequencing on bulk bone marrow and peripheral blood

  Targeted DNA sequencing was performed on 195 bone marrow samples to identify cases of clonal haematopoiesis, and on 99 paired peripheral blood samples. The SeqCap EZ HyperCap protocol was followed, and targeted capture performed against a panel of 97 genes recurrently mutated in myeloid malignancies and clonal hematopoiesis. One BAM file (mapped to the hg38 reference genome) is provided per sample.

  Dataset EGAD00001011083

• Exome sequencing of 142 gastric cancer and matched normal from Japanese cohorts (UT)

  As a contribution to the International Cancer Genome Consortium, exome sequencing of 142 Japanese gastric cancer with various histological subtypes have been conducted. This study aims to identify unique and common driver genes and molecular subtypes in Japanese gastric cancer. Please refer ICGC website for detail: http://icgc.org/icgc/cgp/69/420/1012357

  Dataset EGAD00001004041

• Whole Genome Sequencing of Human Organoid Lines (2020-02-20)

  The study will use WGS to aid in benchmarking different culture conditions in a set of genetically annotated human organoid lines. The data will be used to assess whether there is any clonal differences introduced when culturing these lines in different conditions. . This dataset contains all the data available for this study on 2020-02-20.

  Dataset EGAD00001005995