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• WGS FASTQ files studied in Allogeneic induced pluripotent stem (iPS) cell-derived cartilage transplantation for articular cartilage damage in knee joints: a phase I, first-in-human study

  This data set contains 5 paired fastq files (WGS).

  Dataset EGAD50000001666

• SIA Subtyping Shallow Whole Genome Sequencing (sWGS)

  Associated with Molecular classification of small intestinal adenocarcinomas. Shallow Whole Genome Sequencing (sWGS) generated 214 .fastq files from 127 small intestine adenocarcinomas from 125 patients. DNA libraries for shallow whole genome sequencing were prepared using TruSeq Nano kits (Illumina).

  Dataset EGAD50000001760

• Dataset for scRNA glioblastoma samples

  This dataset contains 5 scRNA samples of human glioblastoma samples, human cortical spheroid derived from hiPSC line 028-4 and 3 samples of mouse xenografts. Sequencing has been performed on Illumina NovaSeq 6000. Sequencing has always been paired.

  Dataset EGAD50000001117

• RNA-seq FASTQ files studied in A first-in-human clinical study of an allogenic iPSC-derived corneal endothelial cell substitute transplantation for bullous keratopathy

  This data set contains 18 paired fastq files (RNA-seq).

  Dataset EGAD50000000948

• Sample Sheet

  Sample sheet for aligning samples with patients.

  Dataset EGAD50000000484

• CRC Patient-derived-organoids Whole Genome Sequencing

  Whole Genome Sequencing raw paired-ends reads for 20 matched colorectal patient-derived-organoids (normal and tumor). Tumor samples were obtained from patients treated at Niguarda Cancer Center, (Milano, Italy) and Candiolo Cancer Institute (Candiolo, Turin, Italy).

  Dataset EGAD50000000617

• H3Africa ACEGID H3Africa Array Genotype

  SNP Genotyping for Lassa Fever cases and population controls from Nigeria and Sierra Leone using Illumina H3Africa array version 1

  Dataset EGAD00010002510

• Whole exome sequencing for primary lung adenocarcinoma samples

  We performed whole exome sequencing (WES) of 11 formalin-fixed paraffin-embedded lung tumour tissues and paired blood samples.

  Study EGAS00001003680

• Exome sequencing files for "Minimal functional driver gene heterogeneity among untreated metastases"

  Files from whole exome sequencing of 14 tumors from two cancer patients (endometrial and lung cancer) along with a matched normal tissue per patient.

  Dataset EGAD00001004212

• Meso RNA-seq data (SSA cell line study)

  RNA-seq data for mesothelioma cell lines after spliceostatin (SSA) or control (DMSO) treatment.

  Dataset EGAD00001001914

• WES and RNA-seq raw sequence data for HIFI project

  WES sequence data from 15 samples, RNA-seq sequence data from 19 samples, all sequence data are raw pair-end sequence data in fastq format, sequenced by Illumina platform.

  Dataset EGAD00001004799

• Indonesian Genome Diversity Project 2

  This dataset reports whole genome sequences for 82 individuals from different populations from Mentawai, New Guinea, Sumatra and Sumba islands.

  Dataset EGAD00001005059

• Control iPSC lines with clinically annotated genetic variants for versatile multi-lineage differentiation Committee

  Four iPSC line data were sequenced by WGS. One of them has gene MYBPC3 modified.

  Dataset EGAD00001005066

• Bam files for a metastatic bladder cancer patient with BAP1 variants

  This dataset consists of three bam files (two cell-free DNA and one germline DNA) from a metastatic bladder cancer patient with BAP1 variants. Bam files were generated from targeted Illumina sequencing data.

  Dataset EGAD00001005520

• 133 CRC RNA-seq fastq

  This dataset contain 133 pairs of colorectal tumor and adjacent normal tissue. For each sample paired RNA-seq fastq were generated using an Illuma Myseq-2000. Those colorectal cancer comprise 101 MSI and 32 MSS tumors.

  Dataset EGAD00001006667

• Fecal whole metagenomic shotgun sequencing data.

  Human fecal WMS data from patients treated with combined anti-CTLA-4 and anti-PD-1 immunotherapy for advanced melanoma.

  Dataset EGAD00001006734

• HV31 - MGI standard short-read sequencing

  MGI standard short-read sequencing data for individual HV31 generated using DNA from peripheral blood mononuclear cells, to a sequencing depth of ~57×.

  Dataset EGAD00001007044

• HV31 - MGI CoolMPS short-read sequencing

  MGI CoolMPS short-read sequencing data for individual HV31 generated using DNA from peripheral blood mononuclear cells, to a sequencing depth of ~57×.

  Dataset EGAD00001007048

• 14 scDNAseq samples

  14 samples were processed for single cell DNA sequencing

  Dataset EGAD00001007521

• RaCHseq data

  Captured single-cell long-read data of a cohort of CLL patients receiving VEN treatment for resistance study

  Dataset EGAD00001008365

• FLTseq data

  Single-cell Long read data of a cohort of CLL patients receiving Venetoclax treatment for VEN resistance study.

  Dataset EGAD00001008367

• Richter Syndrome RNA-seq dataset

  Raw FASTQ files for 77 RS + DLBCL + CLL samples. RNA-sequencing with single-end 50 nt reads.

  Dataset EGAD00001007922

• Fragment ends of circulating microbial DNA as signatures for infectious diseases

  Consists of 88 cases

  Dataset EGAD00001008958

• Clinical data

  Clinical data for IMpower150 (one patient per line): anonymized_patient_id, train_test_split, ctDNA_status, ARM1, OS_months, OS_event, PFS_months, PFS_event, TTEOS_rebaseline_BL, TTEPFS_rebaseline_BL, TTEOS_rebaseline_C2D1, TTEPFS_rebaseline_C2D1, TTEOS_rebaseline_C3D1, TTEPFS_rebaseline_C3D1, TTEOS_rebaseline_C4D1, TTEPFS_rebaseline_C4D1, TTEOS_rebaseline_C8D1, TTEPFS_rebaseline_C8D1, pdl1_high, number_metastatic_sites, baseline_ECOG, age, sex_female, history_of_tobacco_use, sld_baseline, sld_wk6, sld_percent_change_bl_to_wk6, sld_difference_bl_to_wk6, AGEGRP, tumor_assessment_week_6, tumor_assessment_week_12, tumor_assessment_week_18, tumor_assessment_week_24, PFS_days, days_between_randomization_c3

  Dataset EGAD00001009726

• Towards standardized whole exome sequencing (WES) for cancer patients: lessons from a multicentric pilot study

  ZPM WES Pilot consisting of 30 samples paired tumor/normal analyzed with WES at four different laboratories in Germany.

  Dataset EGAD00001011087

• Characterization of Neoantigen-reactive T cells by Single-Cell Analysis

  Through CITE-seq and TCR-seq analysis of non-small cell lung cancer (NSCLC) tumor-infiltrating lymphocytes (TIL), we developed a neoantigen-reactive T-cell signature based on clonotype frequency and CD39 protein and CXCL13 mRNA expression. There are four datasets from four NSCLC cases. Each dataset includes (1) Transcriptome of tumor infiltrating lymphocytes (TIL), (2) Cell surface protein expression on TIL by Feature barcoding, (3) T-cell receptor analysis of TIL, and (4) Reference file for feature-barcoding antibodies.

  Study phs002792

• Genomic features of renal cell carcinoma developed in end-stage renal disease and dialysis

  Patients with end-stage renal disease (ESRD) or receiving dialysis have 3 ���24-fold higher risk for renal cell carcinoma (RCC). Long-term hemodialysis cause acquired cystic disease (ACD) and RCC.���But its carcinogenic mechanism and genomic features are not so clear. In this study, we analyzed whole genome and transcriptome of 38 RCCs, which were developed in ESRD patients receiving dialysis and characterized their genomic features and associations with their histology and dialysis or end-stage renal diseases.

  Study JGAS000533

• Whole genome analysis of mutation hotspots in gastric cancer

  Tissue-specific driver mutations in non-coding genomic regions remain undefined for most cancer types. In this study, we unbiasedly analysed 212 gastric cancer whole genomes to identify recurrently mutated non-coding regions in gastric cancer. Applying comprehensive statistical approa- ches to accurately model background mutational processes, we observe significant enrich- ment of non-coding indels (insertions/deletions) in three gastric lineage-specific genes. We further identify 34 mutation hotspots, of which 11 overlap CTCF binding sites (CBSs).

  Study EGAS00001002872

• RNA data for medulloblastoma samples (ICGC)

  RNA sequencing data for 170 medulloblastoma tumor samples

  Dataset EGAD00001003279

• High-grade serous ovarian cancer refined with single-cell RNA-sequencing

  We performed single-cell RNA-sequencing of 18,403 cells unbiasedly collected from 7 treatment-naive HGSOC tumours. For each phenotypic cluster of tumour or stromal cells, we identified specific transcriptomic markers. Next, we explored which phenotypic clusters correlate with overall survival based on expression of these transcriptomic markers in 1467 bulk RNA-seq tumours. By evaluating molecular subtype signatures in single cells, we assessed to what extent a phenotypic cluster of tumour or stromal cells contributes to each molecular subtype.

  Study EGAS00001004987

• Mucosal 16S sequencing data

  16S-V4 rRNA gene sequence data for intestinal biopsies from NCT02749630 trial participants. Biopsies from patients were collected at screening, day 30, and day 85 and prepared for 16SV4 rRNA gene sequencing.

  Dataset EGAD00001008843

• RNA-Seq dataset for Genomic rearrangements in Pediatric Cancer

  RNA-Seq data for systematic gene fusion detection in Pediatric Cancer

  Dataset EGAD00001008152

• RNA-sequencing of meningiomas for integrative molecular classification.

  RNA-sequencing of meningiomas for integrative molecular classification.

  Dataset EGAD00001007494

• Normal sample for patient SA238

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA238

  Dataset EGAD00001009363

• Normal sample for patient SA221

  Whole genome sequencing of normal sample for triple negative breast cancer patient SA221

  Dataset EGAD00001009362

• Tumour sample for patient SA280

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA280

  Dataset EGAD00001009361

• Tumour sample for patient SA291

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA291

  Dataset EGAD00001009360

• Tumour sample for patient SA289

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA289

  Dataset EGAD00001009359

• Tumour sample for patient SA286

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA286

  Dataset EGAD00001009358

• Tumour sample for patient SA495

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA495

  Dataset EGAD00001009357

• Tumour sample for patient SA425

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA425

  Dataset EGAD00001009356

• Tumour sample for patient SA423

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA423

  Dataset EGAD00001009355

• Tumour sample for patient SA300

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA300

  Dataset EGAD00001009354

• Tumour sample for patient SA239

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA239

  Dataset EGAD00001009353

• Tumour sample for patient SA238

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA238

  Dataset EGAD00001009352

• Tumour sample for patient SA221

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA221

  Dataset EGAD00001009351

• Tumour sample for patient SA683

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA683

  Dataset EGAD00001009350

• Tumour sample for patient SA682

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA682

  Dataset EGAD00001009349

• Tumour sample for patient SA681

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA681

  Dataset EGAD00001009348

• Tumour sample for patient SA680

  Whole genome sequencing of tumour sample for triple negative breast cancer patient SA680

  Dataset EGAD00001009347