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• Salivary Gland Cancer TSO500 dataset

  DNA was extracted from archival tissue of 119 patients with various SGC subtypes and sequenced using a targeted NGS panel encompassing 523 cancer related genes (TruSight Oncology 500, TSO500). This dataset belongs to the publication entitled: 'Identification of fusion genes and targets for genetically matched therapies in a large cohort of salivary gland cancer patients'.

  Dataset EGAD00001008759

• Dataset for cancer_of_unknown_primary-RNA

  Rare cancer sequencing data of 58 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008857

• Dataset for GIST-EXON

  Rare cancer sequencing data of 64 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008875

• Dataset_for_linked_WES_and_WGS_data_from_EGAS00001004813 which belong also to EGAS00001005537 for germline controls of rare cancers

  WES/WGS sequencing data of 37 germline runs, which were uploaded to umbrella studies. The sequencing was always paired. The WGS sequencing was on HiSeq X Ten using the Illumina TruSeq DNA Nano Kit. The WES Sequencing was on HiSeq4000 with Agilent Sureselect V5+UTR.

  Dataset EGAD00001010046

• GATCI whole genome somatic variants (MuTect)

  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 MuTect to generate somatic 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 EGAD00001005822

• GATCI whole genome somatic variants (SomaticSniper)

  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 SomaticSniper to generate somatic 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 EGAD00001005818

• 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

• Epigenomic analysis of human dopaminergic neuron differentiation reveals LBX1, NHLH1 and NR2F1/2 as necessary for lineage specification

  Sample information: The 56 samples produced in this project come from the human iPSC line GM17602 (Coriell) where a tyrosine hydroxylase-T2A-mCherry reporter was inserted. A combination of epigenetic analysis (ATAC/ChIP) along transcriptomics.

  Dataset EGAD00001009288

• Transcript read counts derived from RNA sequencing data collected for NABUCCO cohort 1 (NCT03387761)

  Data from NABUCCO cohort 1 (NCT03387761). This dataset includes the Transcript read counts derived from the RNA sequencing data. The samples are pre-treatment (n=18) and post-treatment (n=18), and not all samples are paired. The data processing pipeline can be found on the Methods section from the Nature Medicine paper (https://doi.org/10.1038/s41591-020-1085-z)

  Dataset EGAD00001006854

• RNAseq Atlas in HCC tumors

  The atlas provides a comprehensive exploration of genetic and transcriptomic landscapes within HCC, offering insights into key genomic alterations and gene expression patterns. The integration of DNA sequencing and RNAseq data enhances our understanding of the molecular complexity underlying HCC, potentially paving the way for targeted therapeutic strategies and biomarker discovery in the context of hepatocellular carcinoma.

  Dataset EGAD00001015341