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• 76 cancer and normal whole genomes from eleven SI-NET patients

  This dataset comprises of 76 cancer and normal whole genomes obtained from 11 SI-NET patients, in the form of two fastq files (forward and reverse reads) for each genome containing sequences generated by Illumina NovaSeq 6000 system.

  Dataset EGAD00001006161

• RESOLVE_trial_targeted_sequencing_data

  RESOLVE: Abemaciclib + Letrozole +/_- Metformin, Zotatifin, or Gedatolisib in Endometrial or Low-Grade Serous Ovarian Cancer

  Study EGAS50000001202

• Epilepsy_related_sudden_death

  These samples include exome sequences of samples from patients who suffered Sudden Unexplained Death in Epilepsy

  Study EGAS00001000352

• GoNL raw sequence data in fastq format

  Raw sequencing data for all samples in fastq format.

  Dataset EGAD00001000821

• JAK and STAT alterations in CD30 positive LPD

  JAK and STAT alterations in CD30 positive LPD, panel sequencing, 12 cutaneous lymphoma patients, 40 samples

  Dataset EGAD00001005801

• Cardiac fibroblast DAC

  DAC for reviewing requests to access data on cardiac fibroblasts as described by Aguado-Alvaro et al (Nature Communications, 2025)

  Dac EGAC50000000479

• Genome-wide DNA Methylation Analysis Reveals a Unique Methylation Pattern for Pleural Mesothelioma Compared to Healthy Pleura and Other Lung Diseases

  Study EGAS00001007783

• Deciphering RBP - alternative splicing networks in ALS iPSC-MN: patient and control datasets

  We produce RNA-seq datasets of iPSC-derived motor neurons (iPSC-MN) from healthy controls and sporadic ALS patients and controls and familial ALS patients with pathogenic variants in TARDBP.

  Study EGAS00001005879

• Low-depth whole genome sequencing across multiple isolated populations

  Isolated populations have unique population genetics characteristics that can help boost power in genetic association studies for complex traits. Leveraging these advantageous characteristics requires an in-depth understanding of parameters that have shaped sequence variation in isolates. This study performs a comprehensive investigation of these parameters using low-depth whole genome sequencing (WGS) across multiple isolates.

  Dataset EGAD00001002014

• Single-cell long-read transcriptomes from CH, MDS and AML patients with CH mutations

  Single-cell long-read (ONT) transcriptome sequencing from CH (n = 3), MDS (n = 5, MDS02 in 2 replicates) and AML (n =1, in 2 replicates) samples with mutations in splicing factors (SF3B1 - n = 8, U2AF1 n = 1) or transcription regulators (DNMT3A - CH04). Full length cDNA from 10x Genomics 3' V3.

  Dataset EGAD00001011282