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• Whole exome and RNA sequencing data from the OXIRI phase 1b clinical trial in Asian pancreatic ductal adenocarcinoma (PDAC) patients

  This dataset contains 8 samples, each of which has paired-end WXS fastq files for Tumour and Normal samples, as well as RNA-Seq fastq file.

  Dataset EGAD00001008632

• cfMeDIP data for 22 WCDT samples

  We analyzed the cell free DNA methylomes using 22 plasma samples from patients with mCRPC prostate cancer in the WCDT project. Methylation was profiled using the methylated DNA immunoprecipitation coupled to next generation sequencing (MeDIP) technology.

  Dataset EGAD00001008713

• Whole-genome and transcriptome sequencing files obtained in monozygotic twins discordant for Mayer-Rokitansky-Küster-Hauser syndrome

  Raw, unfiltered, paired-end fastq files obtained through whole-genome and RNA-sequencing, respectively. RNA-seq of affected individuals in three twin pairs. WGS of blood in five twin pairs as well as uterine rudiment tissue of selected affected individuals.

  Dataset EGAD00001008992

• The University of Hong Kong Colon Cancer Ganciclovir Study WGS Data

  Human clonal intestinal organoids were treated with 1µM MMF (Roche), 20 μM GCV (Hainan Poly Pharm Co Ltd), or in combinations (1 µM MMF + 20 μM GCV or 1 µM MMF + 40 μM GCV) continuously for 4-6 weeks. DNA was extracted after drug treatment. WGS was performed with 150 bp PE sequencing at 30X using an Illumina Novaseq sequencer.

  Dataset EGAD00001009667

• Sequencing data for oesophageal and related samples - Nowicki-Osuch, Zhuang et al (scRNA)

  Data supporting: “Single-cell RNA sequencing unifies developmental programs of Esophageal and Gastric Intestinal Metaplasia.” Nowicki-Osuch, Zhuang et al. scRNAseq (FASTQ files) 59 samples

  Dataset EGAD00001010074

• Papua New Guinean Genome Altitude Project Dataset 1

  The PGAP dataset 1 includes 81 whole genome sequences for Papua New Guinean individuals sampled in Daru (N=38) and Mount Wilhelm (N=43). DNA was extrated from saliva samples (Oragen kit). Sequencing libraries were prepared using the TruSeq DNA PCR-Free HT kit. 150 bp paired-end sequencing was performed on the Illumina HiSeq X5 sequencer. The PGAP dataset provides Fastq, mapped cram files (GRCh38) and phenotype measurements.

  Dataset EGAD00001010143

• Gut microbiome from melanoma patients

  Metagenomics shotgun sequencing was conducted on fecal samples from the Australian patients enrolled in the OpACIN-neo clinical trial (n = 38). Metagenomic shotgun sequencing was performed utilizing the same DNA from the same preparations as for the 16S rRNA gene analysis. Individual libraries were prepared using Nextera XT, and sequencing was performed on the Illumina NovaSeq 6000 S1 (2 x 150bp; Xp workflow).

  Dataset EGAD00001010028

• BCG Molecular Subtyping

  Dataset for the paper: Non-muscle Invasive Bladder Cancer Molecular Subtypes Predict Differential Response to Intravesical Bacillus Calmette-Guérin

  Dataset EGAD00001010065

• 10x Single Cell Gene Expression Library SCRNA10X_CS_CHIP0198_004A

  10x Single Cell Gene Expression library SCRNA10X_CS_CHIP0198_004A for Lymph node patient sample RLN_02_5Prime

  Dataset EGAD00001010237

• 10x Single Cell Gene Expression Library SCRNA10X_CS_CHIP0198_005A

  10x Single Cell Gene Expression library SCRNA10X_CS_CHIP0198_005A for Lymph node patient sample RLN_03_5Prime

  Dataset EGAD00001010238

• DLP+ Single Cell Genomic Library 98211

  DLP+ Single Cell Genomic Library 98211 for Diffuse large B-cell lymphoma patient sample TFRIPAIR11_DLBCL

  Dataset EGAD00001010239

• DLP+ Single Cell Genomic Library A98180

  DLP+ Single Cell Genomic Library A98180 for Diffuse large B-cell lymphoma patient sample TFRI_Pair_13_DLBCL

  Dataset EGAD00001010240

• DLP+ Single Cell Genomic Library A98193

  DLP+ Single Cell Genomic Library A98193 for Follicular lymphoma patient sample TFRI_Pair_6_FL

  Dataset EGAD00001010241

• DLP+ Single Cell Genomic Library A98203

  DLP+ Single Cell Genomic Library A98203 for Diffuse large B-cell lymphoma patient sample TFRIPAIR8_DLBCL

  Dataset EGAD00001010242

• DLP+ Single Cell Genomic Library A98205

  DLP+ Single Cell Genomic Library A98205 for Follicular lymphoma patient sample TFRIPAIR9_FL

  Dataset EGAD00001010243

• DLP+ Single Cell Genomic Library A98208

  DLP+ Single Cell Genomic Library A98208 for Diffuse large B-cell lymphoma patient sample TFRIPAIR10_DLBCL

  Dataset EGAD00001010244

• DLP+ Single Cell Genomic Library A98221A

  DLP+ Single Cell Genomic Library A98221A for Follicular lymphoma patient sample TFRIPAIR5_FL

  Dataset EGAD00001010245

• DLP+ Single Cell Genomic Library A98225

  DLP+ Single Cell Genomic Library A98225 for Diffuse large B-cell lymphoma patient sample TFRIPAIR12_DLBCL_rel

  Dataset EGAD00001010246

• DLP+ Single Cell Genomic Library A98288

  DLP+ Single Cell Genomic Library A98288 for Follicular lymphoma patient sample TFRIPAIR2_FL

  Dataset EGAD00001010247

• DLP+ Single Cell Genomic Library A98297

  DLP+ Single Cell Genomic Library A98297 for Follicular lymphoma patient sample TFRIPAIR3_FL

  Dataset EGAD00001010248

• DLP+ Single Cell Genomic Library A98167

  DLP+ Single Cell Genomic Library A98167 for Diffuse large B-cell lymphoma patient sample TFRIPAIR4_DLBCL

  Dataset EGAD00001010249

• Paired RNA-Seq for Sarcoma tumors

  Paired RNA-Seq of 199 samples of Sarcoma tumors. The sequencing was done mostly on HiSeq 4000 with Illumina TruSeq Stranded mRNA, ist was also done on NovaSeq 6000 using the same kit. Very few samples were sequenced on HiSeq X Ten with Illumina TruSeq RNA or Illumina TruSeq Stranded mRNA.

  Dataset EGAD00001010256

• Single-cell ATAC-Seq (Chromium Next GEM Single Cell ATAC kit v1.1 from 10X Genomics )

  Human data for chromatin accessibility (scATAC-Seq) in CD34+ B cell precursors.

  Dataset EGAD00001010910

• Strand-seq data of primary acute myeloid leukemia patient samples with complex karyotype

  In this study, we aimed to identify somatic structural variation of acute myeloid leukemia with complex karyotype (CK-AML) at the single-cell level and to investigate its direct consequence on the nucleosome occupancy using scNOVA approach. For this purpose, we performed strand-specific single-cell sequencing of primary leukemia samples from four CK-AML patients. We also performed strand-specific single-cell sequencing of two patient-derived xenografts (PDXs).

  Dataset EGAD00001011172

• 10x Single Cell Gene Expression Library SCRNA10X_SA_CHIP0142_004

  10x Single Cell Gene Expression library SCRNA10X_SA_CHIP0142_004 for Triple negative breast cancer sample SA1035X6XB03209

  Dataset EGAD00001011243