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• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002723

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002732

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002815

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002879

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001003017

• Coloured Project - Lankheet et al

  The data is for non-commercial use only.

  Dac EGAC50000000240

• The Data Access Committee for Human Olfactory Mucosa Cells (DAC HOM) at UEF

  Dac EGAC00001003404

• The Multiomics Blueprint of Extreme Human Lifespan

  Dac EGAC50000000515

• X chromosome dosage and the genetic impact across human tissues

  Study EGAS00001006996

• WGS of clonal organoids, bulk-tumor tissues, and matched blood samples derived from metastatic colorectal cancer patients

  This dataset consists of WGS fastq files from 58 clonal organoids and 18 fresh-frozen (FT) bulk-tissue samples from surgically resected primary and metastatic tumors before and after anticancer therapies in 6 patients with matched blood control samples from each patient. After DNA extraction from each sample using DNeasy Blood and Tissue Kit (Qiagen), library preparation was done using TruSeq DNA PCR-free kit. Then, paired-end fastq files were generated using Illumina NovaSeq 6000.

  Dataset EGAD50000001493

• Spatiotemporal genomic architecture informs precision oncology in glioblsatoma

  We characterized genomic and expression profiles across 127 multi-sector or longitudinal specimens from 52 glioma patients. We showed that, while samples from nearby geographical location shared similar genomic alterations (clonal or subclonal) and expression signatures, multifocal tumors were seeded from individual clones.

  Study EGAS00001001880

• Sequencing data for oesophageal and related samples - Scott et al (WGS, RNA)

  Data supporting: "Evidence that polyploidy in esophageal adenocarcinoma originates from mitotic slippage caused by defective chromosome attachments" Scott et al. WGS and RNAseq sequencing data Organoid, tumour and normal samples BAM files

  Dataset EGAD00001006738

• Comprehensive RNA repository of tissue and plasma from patients with esophageal cancer or precursor lesions

  A comprehensive RNA repository (both coding and non-coding) from 17 patients diagnosed with esophageal adenocarcinoma, high-grade dysplastic or non-dysplastic Barrett’s esophagus. Per patient, a blood plasma sample, and a healthy esophageal and disease tissue sample were collected. This dataset includes both mRNA and small RNA sequencing data (fastq.gz files) of all tissue and plasma samples. In total,102 RNA-seq libraries from 51 samples (17 plasma and 34 tissue samples) were sequenced (plasma mRNA libraries were sequenced twice).

  Dataset EGAD00001006857

• Sequencing data for rare tumors and sarcomas

  This dataset contains DNA and RNA sequencing information for AML, Gliomas, brain tumors (medulloblastoma and ependymoma), DIPG, rhabdoid tumors and soft tissue sarcomas. In total 39 samples are present (14 matched normal, 25 tumor samples). Not all samples have matched normals and not all samples have RNA sequencing data..

  Dataset EGAD00001008974

• WES data from 165 tumor/germline samples with muscle invasive bladder cancer.

  In this study, a total of 300 patients with MIBC receiving chemotherapy were included; 62 received NAC before cystectomy and 245 received first-line chemotherapy upon detection of locally-advanced (T4b) or metastatic disease. Treatment response, defined as pathological downstaging (< pTa,CIS,N0) after NAC or complete or partial response after first-line treatment (RECIST criteria). WES was performed using DNA from 165 tumors (76x median coverage) and associated germline DNA (46x median coverage). Data provided here consist of 5,828 fastq files for WES.

  Dataset EGAD00001006239

• Cellular indexing of transcriptomes and epitopes sequencing of peritoneal fluid from patients with achalasia

  The data published here contains cellular indexing of transcriptomes and epitopes sequencing (CITEseq) using the oligo-tagged TotalSeq™-B Human Universal Cocktail, V1.0 from BioLegend on peritoneal fluid (PF) from patients with achalasia. Sequencing was performed in a paired-ended fashion on the NovaSeq6000. Below an overview of the epitopes to oligotags as obtained from BioLegend: DNA_ID Description clone Sequence Ensembl ID B0006 anti-human CD86 IT2.2 GTCTTTGTCAGTGCA ENSG00000114013 B0007 anti-human CD274 (B7-H1, PD-L1) 29E.2A3 GTTGTCCGACAATAC ENSG00000120217 B0020 anti-human CD270 (HVEM, TR2) 122 TGATAGAAACAGACC ENSG00000157873 B0023 anti-human CD155 (PVR) SKII.4 ATCACATCGTTGCCA ENSG00000073008 B0024 anti-human CD112 (Nectin-2) TX31 AACCTTCCGTCTAAG ENSG00000130202 B0026 anti-human CD47 CC2C6 GCATTCTGTCACCTA ENSG00000196776 B0029 anti-human CD48 BJ40 CTACGACGTAGAAGA ENSG00000117091 B0031 anti-human CD40 5C3 CTCAGATGGAGTATG ENSG00000101017 B0032 anti-human CD154 24-31 GCTAGATAGATGCAA ENSG00000102245 B0033 anti-human CD52 HI186 CTTTGTACGAGCAAA ENSG00000169442 B0034 anti-human CD3 UCHT1 CTCATTGTAACTCCT ENSG00000167286 B0046 anti-human CD8 SK1 GCGCAACTTGATGAT ENSG00000153563 B0047 anti-human CD56 (NCAM) 5.1H11 TCCTTTCCTGATAGG ENSG00000149294 B0050 anti-human CD19 HIB19 CTGGGCAATTACTCG ENSG00000177455 B0052 anti-human CD33 P67.6 TAACTCAGGGCCTAT ENSG00000105383 B0053 anti-human CD11c S-HCL-3 TACGCCTATAACTTG ENSG00000140678 B0058 anti-human HLA-A,B,C W6/32 TATGCGAGGCTTATC ENSG00000206503 B0063 anti-human CD45RA HI100 TCAATCCTTCCGCTT ENSG00000081237 B0064 anti-human CD123 6H6 CTTCACTCTGTCAGG ENSG00000185291 B0066 anti-human CD7 CD7-6B7 TGGATTCCCGGACTT ENSG00000173762 B0068 anti-human CD105 43A3 ATCGTCGAGAGCTAG ENSG00000106991 B0070 anti-human/mouse CD49f GoH3 TTCCGAGGATGATCT ENSG00000091409 B0071 anti-human CD194 (CCR4) L291H4 AGCTTACCTGCACGA ENSG00000183813 B0072 anti-human CD4 RPA-T4 TGTTCCCGCTCAACT ENSG00000010610 B0073 anti-mouse/human CD44 IM7 TGGCTTCAGGTCCTA ENSG00000026508 B0081 anti-human CD14 M5E2 TCTCAGACCTCCGTA ENSG00000170458 B0083 anti-human CD16 3G8 AAGTTCACTCTTTGC ENSG00000203747 B0085 anti-human CD25 BC96 TTTGTCCTGTACGCC ENSG00000134460 B0087 anti-human CD45RO UCHL1 CTCCGAATCATGTTG ENSG00000081237 B0088 anti-human CD279 (PD-1) EH12.2H7 ACAGCGCCGTATTTA ENSG00000188389 B0089 anti-human TIGIT (VSTM3) A15153G TTGCTTACCGCCAGA ENSG00000181847 B0090 Mouse IgG1, κ isotype MOPC-21 GCCGGACGACATTAA B0091 Mouse IgG2a, κ isotype MOPC-173 CTCCTACCTAAACTG B0092 Mouse IgG2b, κ isotype MPC-11 ATATGTATCACGCGA B0095 Rat IgG2b, κ isotype RTK4530 GATTCTTGACGACCT B0100 anti-human CD20 2H7 TTCTGGGTCCCTAGA ENSG00000156738 B0101 anti-human CD335 (NKp46) 9E2 ACAATTTGAACAGCG ENSG00000189430 B0124 anti-human CD31 WM59 ACCTTTATGCCACGG ENSG00000261371 B0127 anti-Human Podoplanin NC-08 GGTTACTCGTTGTGT ENSG00000162493 B0134 anti-human CD146 P1H12 CCTTGGATAACATCA ENSG00000076706 B0136 anti-human IgM MHM-88 TAGCGAGCCCGTATA ENSG00000211899 B0138 anti-human CD5 UCHT2 CATTAACGGGATGCC ENSG00000110448 B0141 anti-human CD195 (CCR5) J418F1 CCAAAGTAAGAGCCA ENSG00000160791 B0142 anti-human CD32 FUN-2 GCTTCCGAATTACCG ENSG00000143226 B0143 anti-human CD196 (CCR6) G034E3 GATCCCTTTGTCACT ENSG00000112486 B0144 anti-human CD185 (CXCR5) J252D4 AATTCAACCGTCGCC ENSG00000160683 B0145 anti-human CD103 (Integrin αE) Ber-ACT8 GACCTCATTGTGAAT ENSG00000083457 B0146 anti-human CD69 FN50 GTCTCTTGGCTTAAA ENSG00000110848 B0147 anti-human CD62L DREG-56 GTCCCTGCAACTTGA ENSG00000188404 B0149 anti-human CD161 HP-3G10 GTACGCAGTCCTTCT ENSG00000111796 B0151 anti-human CD152 (CTLA-4) BNI3 ATGGTTCACGTAATC ENSG00000163599 B0152 anti-human CD223 (LAG-3) 11C3C65 CATTTGTCTGCCGGT ENSG00000089692 B0153 anti-human KLRG1 (MAFA) SA231A2 CTTATTTCCTGCCCT ENSG00000139187 B0154 anti-human CD27 O323 GCACTCCTGCATGTA ENSG00000139193 B0155 anti-human CD107a (LAMP-1) H4A3 CAGCCCACTGCAATA ENSG00000185896 B0156 anti-human CD95 (Fas) DX2 CCAGCTCATTAGAGC ENSG00000026103 B0158 anti-human CD134 (OX40) Ber-ACT35 (ACT35) AACCCACCGTTGTTA ENSG00000186827 B0159 anti-human HLA-DR L243 AATAGCGAGCAAGTA ENSG00000204287 B0160 anti-human CD1c L161 GAGCTACTTCACTCG ENSG00000158481 B0161 anti-human CD11b ICRF44 GACAAGTGATCTGCA ENSG00000169896 B0162 anti-human CD64 10.1 AAGTATGCCCTACGA ENSG00000150337 B0163 anti-human CD141 (Thrombomodulin) M80 GGATAACCGCGCTTT ENSG00000178726 B0164 anti-human CD1d 51.1 TCGAGTCGCTTATCA ENSG00000158473 B0165 anti-human CD314 (NKG2D) 1D11 CGTGTTTGTTCCTCA ENSG00000213809 B0167 anti-human CD35 E11 ACTTCCGTCGATCTT ENSG00000203710 B0168 anti-human CD57 Recombinant QA17A04 AACTCCCTATGGAGG ENSG00000109956 B0170 anti-human CD272 (BTLA) MIH26 GTTATTGGACTAAGG ENSG00000186265 B0171 anti-human/mouse/rat CD278 (ICOS) C398.4A CGCGCACCCATTAAA ENSG00000163600 B0174 anti-human CD58 (LFA-3) TS2/9 GTTCCTATGGACGAC ENSG00000116815 B0176 anti-human CD39 A1 TTACCTGGTATCCGT ENSG00000138185 B0179 anti-human CX3CR1 K0124E1 AGTATCGTCTCTGGG ENSG00000168329 B0180 anti-human CD24 ML5 AGATTCCTTCGTGTT ENSG00000272398 B0181 anti-human CD21 Bu32 AACCTAGTAGTTCGG ENSG00000117322 B0185 anti-human CD11a TS2/4 TATATCCTTGTGAGC ENSG00000005844 B0187 anti-human CD79b (Igβ) CB3-1 ATTCTTCAACCGAAG ENSG00000007312 B0189 anti-human CD244 (2B4) C1.7 TCGCTTGGATGGTAG ENSG00000122223 B0206 anti-human CD169 7-239 TACTCAGCGTGTTTG ENSG00000088827 B0214 anti-human/mouse integrin β7 FIB504 TCCTTGGATGTACCG ENSG00000139626 B0215 anti-human CD268 (BAFF-R) 11C1 CGAAGTCGATCCGTA ENSG00000159958 B0216 anti-human CD42b HIP1 TCCTAGTACCGAAGT ENSG00000203618 B0217 anti-human CD54 HA58 CTGATAGACTTGAGT ENSG00000090339 B0218 anti-human CD62P (P-Selectin) AK4 CCTTCCGTATCCCTT ENSG00000174175 B0219 anti-human CD119 (IFN-γ R α chain) GIR-208 TGTGTATTCCCTTGT ENSG00000027697 B0224 anti-human TCR α/β IP26 CGTAACGTAGAGCGA B0236 Rat IgG1, κ isotype RTK2071 ATCAGATGCCCTCAT B0238 Rat IgG2a, κ Isotype RTK2758 AAGTCAGGTTCGTTT B0242 anti-human CD192 (CCR2) K036C2 GAGTTCCCTTACCTG ENSG00000121807 B0246 anti-human CD122 (IL-2Rβ) TU27 TCATTTCCTCCGATT ENSG00000100385 B0352 anti-human FcεRIα AER-37 (CRA-1) CTCGTTTCCGTATCG ENSG00000179639 B0353 anti-human CD41 HIP8 ACGTTGTGGCCTTGT ENSG00000005961 B0355 anti-human CD137 (4-1BB) 4B4-1 CAGTAAGTTCGGGAC ENSG00000049249 B0358 anti-human CD163 GHI/61 GCTTCTCCTTCCTTA ENSG00000177575 B0359 anti-human CD83 HB15e CCACTCATTTCCGGT ENSG00000112149 B0363 anti-human CD124 (IL-4Rα) G077F6 CCGTCCTGATAGATG ENSG00000077238 B0364 anti-human CD13 WM15 TTTCAACGCCCTTTC ENSG00000166825 B0367 anti-human CD2 TS1/8 TACGATTTGTCAGGG ENSG00000116824 B0368 anti-human CD226 (DNAM-1) 11A8 TCTCAGTGTTTGTGG ENSG00000150637 B0369 anti-human CD29 TS2/16 GTATTCCCTCAGTCA ENSG00000150093 B0370 anti-human CD303 (BDCA-2) 201A GAGATGTCCGAATTT ENSG00000198178 B0371 anti-human CD49b P1E6-C5 GCTTTCTTCAGTATG ENSG00000164171 B0373 anti-human CD81 (TAPA-1) 5A6 GTATCCTTCCTTGGC ENSG00000110651 B0384 anti-human IgD IA6-2 CAGTCTCCGTAGAGT ENSG00000211898 B0385 anti-human CD18 TS1/18 TATTGGGACACTTCT ENSG00000160255 B0386 anti-human CD28 CD28.2 TGAGAACGACCCTAA ENSG00000178562 B0389 anti-human CD38 HIT2 TGTACCCGCTTGTGA ENSG00000004468 B0390 anti-human CD127 (IL-7Rα) A019D5 GTGTGTTGTCCTATG ENSG00000168685 B0391 anti-human CD45 HI30 TGCAATTACCCGGAT ENSG00000081237 B0393 anti-human CD22 S-HCL-1 GGGTTGTTGTCTTTG ENSG00000012124 B0394 anti-human CD71 CY1G4 CCGTGTTCCTCATTA ENSG00000072274 B0396 anti-human CD26 BA5b GGTGGCTAGATAATG ENSG00000197635 B0398 anti-human CD115 (CSF-1R) 9-4D2-1E4 AATCACGGTCCTTGT ENSG00000182578 B0404 anti-human CD63 H5C6 GAGATGTCTGCAACT ENSG00000135404 B0406 anti-human CD304 (Neuropilin-1) 12C2 GGACTAAGTTTCGTT ENSG00000099250 B0407 anti-human CD36 5-271 TTCTTTGCCTTGCCA ENSG00000135218 B0408 anti-human CD172a (SIRPα) 15-414 CGTGTTTAACTTGAG ENSG00000198053 B0419 anti-human CD72 3F3 CAGTCGTGGTAGATA ENSG00000137101 B0420 anti-human CD158 (KIR2DL1/S1/S3/S5) HP-MA4 TATCAACCAACGCTT ENSG00000125498 B0446 anti-human CD93 VIMD2 GCGCTACTTCCTTGA ENSG00000125810 B0575 anti-human CD49a TS2/7 ACTGATGGACTCAGA ENSG00000213949 B0576 anti-human CD49d 9F10 CCATTCAACTTCCGG ENSG00000115232 B0577 anti-human CD73 (Ecto-5'-nucleotidase) AD2 CAGTTCCTCAGTTCG ENSG00000135318 B0579 anti-human CD9 HI9a GAGTCACCAATCTGC ENSG00000010278 B0581 anti-human TCR Vα7.2 3C10 TACGAGCAGTATTCA B0582 anti-human TCR Vδ2 B6 TCAGTCAGATGGTAT B0591 anti-human LOX-1 15C4 ACCCTTTACCGAATA ENSG00000173391 B0592 anti-human CD158b (KIR2DL2/L3, NKAT2) DX27 GACCCGTAGTTTGAT ENSG00000243772 B0599 anti-human CD158e1 (KIR3DL1, NKB1) DX9 GGACGCTTTCCTTGA ENSG00000167633 B0822 anti-human CD142 NY2 CACTGCCGTCGATTA ENSG00000117525 B0830 anti-human CD319 (CRACC) 162.1 AGTATGCCATGTCTT ENSG00000026751 B0864 anti-human CD352 (NTB-A) NT-7 AGTTTCCACTCAGGC ENSG00000162739 B0867 anti-human CD94 DX22 CTTTCCGGTCCTACA ENSG00000134539 B0871 anti-human CD162 KPL-1 ATATGTCAGAGCACC ENSG00000110876 B0896 anti-human CD85j (ILT2) GHI/75 CCTTGTGAGGCTATG ENSG00000104972 B0897 anti-human CD23 EBVCS-5 TCTGTATAACCGTCT ENSG00000104921 B0902 anti-human CD328 (Siglec-7) 6-434 CTTAGCATTTCACTG ENSG00000168995 B0918 anti-human HLA-E 3D12 GAGTCGAGAAATCAT ENSG00000204592 B0920 anti-human CD82 ASL-24 TCCCACTTCCGCTTT ENSG00000085117 B0944 anti-human CD101 (BB27) BB27 CTACTTCCCTGTCAA ENSG00000134256 B1046 anti-human CD88 (C5aR) S5/1 GCCGCATGAGAAACA ENSG00000197405 B1052 anti-human CD224 KF29 CTGATGAGATGTCAG ENSG00000100031

  Dataset EGAD50000000252

• Breast Cancer Histology Images

  Fresh frozen breast cancer H&E tissue images collected and annotated by the International Cancer Genome Consortium (ICGC), that included the BASIS collaboration. Associated with whole genome sequence data as originally described by Nik-Zainal et al, Nature, 2016 (DOI: 10.1038/nature17676) and deposited with ID EGAS00001001178

  Dataset EGAD00010001911

• Prospective cohort patients with Multiple sclerosis and controls

  The sys4MS cohort comprises 350 patients with Multiple Sclerosis (MS) and 9 controls, with 2 years of follow-up. Baseline data includes demographics, clinical scales, disease duration and subtype and use of disease-modifying drugs, brain MRI (volumetry and lesion load), retinal thickness by OCT, genomics (GWAS), cytomics, and phosphoproteomics. Data at the end of follow-up includes clinical scales, brain MRI and OCT.

  Dataset EGAD00010002505

• Evaluating potential drug candidates for the treament of Henamgiopericytoma on patient derived cell line models

  Solitary fibrous tumor/Hemangiopericytoma (SFT/HPC) is a rare subtype of soft tissue sarcoma associated with NAB2-STAT6 gene fusions. This study established and characterized a novel SFT/HPC patient-derived cell line called SFT-S1. Potential drug candidates that could be repurposed for the treatment of SFT/HPC were screened. Screening was performed through RNA-Seq

  Dataset EGAD50000000039

• Whole exome sequencing of FFPE material from 41 pediatric BCP-LBL patients.

  This study contain the results of whole exome sequencing analyses of FFPE material from 41 pediatric B-cell precursor lymphoblastic lymphoma patients. Samples were sequenced with a target coverage of 200x. Data are provided as Fastq files.

  Study EGAS50000000290

• Dataset for WGS and RNA samples of acute myeloid leukemia with MNX1 expression (non-hipo)

  This dataset contains 115 samples of WGS, ATAC, 4C and RNAseq samples of patients with acute myeloid leukemia. The sequencing was performed on Illumina HiSeq 4000, 2000 and HiSeq X using Illumina TruSeq Nano DNA and Agilent Strand Specific RNA Kits. The sequencing was always paired.

  Dataset EGAD50000001097

• Single-cell Transcriptome Analysis of Plasma Cells Across the Disease Spectrum of Multiple Myeloma

  This dataset includes FastQ files of single-cell RNA sequencing data of 5' GEX and VDJ libraries from CD138+ plasma cells enriched from 72 bone marrow aspirates from patients diagnosed with a monoclonal gammopathy from the multiple myeloma spectrum, including MGUS (n=13), SMM (n = 22), NDMM (n = 17), RRMM (n = 15) and PCL (n = 2); and 3 controls.

  Dataset EGAD50000001179

• scD&D Multiome of GATA1 regulatory network dynamics during erythropoiesis

  Ex vivo differentiation experiments of human CD34+ hematopoietic stem and progenitor cells and profiled cells along the erythropoietic trajectory at multiple timepoints (differentiation days 0, 5, 8, 18, and 24), for simultaneous assessment of transcriptome, chromatin accessibility and GATA1 binding

  Study EGAS50000001606

• 10X snMultiome (ATAC+GEX) for the study of "SPEN loss drives extra-follicular diffuse large B cell lymphoma with female-specific lethality and TLR pathway therapeutic vulnerabilities"

  10X snMultiome (ATAC+GEX) sequencing of 1 human reactive tonsil sample and 1 DLBCL sample for the study of "SPEN loss drives extra-follicular diffuse large B cell lymphoma with female-specific lethality and TLR pathway therapeutic vulnerabilities"

  Dataset EGAD50000002277

• Congenital mesoblastic nephroma and infantile fibrosarcoma

  The genetic basis of many rare childhood cancers remains unknown. These include a spectrum of infant soft tissue tumors without canonical gene fusions, encompassing congenital mesoblastic nephroma (CMN) of the kidney and infantile fibrosarcoma (IFS). Here, we integrated whole genome and transcriptome sequencing and identified diagnostic markers and novel therapeutic strategies.

  Dataset EGAD00001003884

• Whole genome sequencing data of normal/tumors pairs from 9 patients with uterine or ovarian carcinosarcoma.

  This dataset provides whole genome sequencing data of normal/tumors pairs from 9 patients with uterine or ovarian carcinosarcoma using the HiSeq 2000 sequencing system. It includes 27 samples (9 normals, 16 uterine tumors and 2 ovarian tumors). Through separate whole genome sequencing of carcinomatous and sarcomatoid components, we analyse and compare the genomic alterations of these components.

  Dataset EGAD00001003755

• He et al. WES data

  This dataset are the bam files of WES data from the paper by He et al.

  Dataset EGAD00001007134

• January 2016 update of RNA-Seq data for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  January 2016 update of RNA-Seq data (bams, fastqs) for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001001885

• RNA-seq of human glioblastoma and matched gliomasphere cell lines (BLN panel)

  This dataset contains all RNA-seq runs for the BLN panel of cell lines and matched parental tumors. Tumor/cell line pairs have been authenticated using SNP profiles and all pairs were confirmed. Please note: The dataset also contains raw data from an early primary culture (BLN-1) where no stable cell line could be generated. Please also note different reference genomes.

  Dataset EGAD00001002893

• smRNA-Seq assays for reference epigenomes generated by Centre for Epigenome Mapping Technologies at Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, as part of the International Human Epigenome Consortium.

  smRNA-Seq assays for reference epigenomes generated by Centre for Epigenome Mapping Technologies at Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001001226

• Chromatin 3D interactions mediate genetic effects on gene expression (ChIP-seq)

  ChIP-seq data for Lymphoblastoid Cell Lines (LCL) and Fibroblasts (FIB) from the Gencord Cohort: - 160 LCLs assayed for H3K27ac, H3K4me1 and H3K4me3, - 78 FIB assayed for H3K4me3 and 79 FIB assayed for H3K27ac and H3K4me1 This dataset was generated as part of the following study: Delaneau et al (2019). Chromatin 3D interactions mediate genetic effects on gene expression.

  Dataset EGAD00001004871

• Whole exome and targeted sequencing data from glioblastoma multiforme samples

  Whole exome and targeted sequencing data from 11 glioblastoma multiforme patients. A total of 70 tumour specimens and 11 blood samples were used for whole exome sequencing (WES) using the Agilent SureSelectXT Human All Exon V5 Kit. Two custom targeted sequencing panels were designed using the using Agilent’s Haloplex (TES1) or Agilent SureSelect XT2 technology (TES2). Libraries were sequenced on an Illumina HiSeq2500

  Dataset EGAD00001004420

• Whole genome shotgun sequencing assays for reference epigenomes generated by Centre for Epigenome Mapping Technologies at Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, as part of the International Human Epigenome Consortium.

  Whole genome shotgun sequencing assays for reference epigenomes generated by Centre for Epigenome Mapping Technologies at Canada's Michael Smith Genome Sciences Centre, BC Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001001228

• Fastq data for smRNA-Seq assays for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  Fastq data for smRNA-Seq assays assay for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001001401

• June 2018 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  June 2018 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies (Canadian Epigenetics, Environment and Health Research Consortium), Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001004300

• RNA-seq of multiple myeloma patient samples

  RNA from CD138+ plasma cells from patients with a plasma cell dyscrasia were sequenced using the TruSeq Stranded Total RNA Ribo-zero Gold kit (Illumina). Paired-end 75bp reads were generated on a NextSeq500 or HiSeq4000 (Illumina). The dataset consists of 1 MGUS sample, 5 SMM samples, 69 newly diagnosed myeloma samples, 1 relapsed myeloma sample, 1 previously treated myeloma samples, and 4 PCL samples. Matching whole genome sequencing data are available for these samples under study EGAS00001003164.

  Dataset EGAD00001004543

• Whole genome sequencing data of normal/tumors pairs from 4 patients with uterine or ovarian carcinosarcoma.

  This dataset provides whole genome sequencing data of normal/tumors pairs from 4 patients with uterine or ovarian carcinosarcoma using the HiSeq 2000 sequencing system. It includes 10 samples (4 normals, 4 uterine tumors and 2 ovarian tumors). Through separate whole genome sequencing of carcinomatous and sarcomatoid components, we analyse and compare the genomic alterations of these components.

  Dataset EGAD00001003898

• Study of Korean Parkinson's disease

  Single nucleotide variants (SNVs) associated with Parkinson’s disease (PD) have been investigated mainly through genome-wide association studies. Here, we conducted whole genome sequencing of 410 PD patients and 200 healthy individuals of the Korean population and identified disease-related SNVs.

  Study EGAS00001006811

• Genetic_Overlap_between_Metabolic_and_Psychiatric_disease

  The Genetic Overlap between Metabolic and Psychiatric Diseases (GOMAP) study comprises samples from four patient groups: 964 schizophrenia samples, 921 type 2 diabetes patients, 582 patients with comorbid schizophrenia and type 2 diabetes and 280 samples with another psychiatric diagnosis.

  Study EGAS00001002723

• Neuroblastoma WGS samples used for detection of seismic amplification

  Paired-end WGS data of 27 neuroblastoma patient samples (10 obtained at diagnosis, 6 at relapse and 11 matched blood samples as controls) used for detection of complex "seismic" amplification. Mean coverage is 24-55x per sample. The remaining patient samples of the dataset can be found under accession number EGAS00001001308.

  Dataset EGAD00001007807

• RNA-sequencing of T-cell Acute Lymphoblastic Leukemia (T-ALL)

  This dataset contains raw fastq files from the RNA-Seq of 96 T-Acute Lymphoblastic Leukemia. Libraries where prepared using Agilent SureSelect XT-HS2 RNA Reagent Kit. As such, reads contain molecular barcodes that could be specifically handled using the AGeNT tool.

  Dataset EGAD00001010273

• February 2021 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  February 2021 data update (fastq) for reference epigenomes generated at Centre for Epigenome Mapping Technologies (Canadian Epigenetics, Environment and Health Research Consortium), Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001007919

• TRACERx NSCLC - Multiregion RNA sequencing data from the 421 cohort

  RNAseq data from the TRACERx 421 cohort

  Dataset EGAD00001009862

• CCA Visium spatial transcriptomics data (4 CCA)

  Visium spatial transcriptomics (10X Genomics) performed on 4 CCA samples. Each sample has two paired-end sequencing runs: the first (I1 & I2) are a pair reading indexes; the second (R1 & R2) are a pair reading inserts, with R1 additionally reading 10X barcodes. For histology images, please contact authors.

  Dataset EGAD00001011997

• Aligned whole genome bisulfite sequencing data for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency as part of the International Human Epigenome Consortium.

  Aligned whole genome bisulfite sequencing data for reference epigenomes generated at Centre for Epigenome Mapping Technologies, Genome Sciences Center, B.C. Cancer Agency, Vancouver, Canada as part of the International Human Epigenome Consortium.

  Dataset EGAD00001001435

• The University of Hong Kong Gastric Cancer Genomics Study Data Access Committee

  Dac EGAC00001000136

• DAC for genomic data obtained within the Micrometastasis (Oslo1) project from Oslo, Norway

  Dac EGAC00001000558

• The University of Hong Kong Gastric Cancer Organoids Genomics Study Data Access Committee

  Dac EGAC00001000981

• The Scientific ethical comittee capital region of Denmark (De videnskabs etiske komiteer region hovedstaden)

  Dac EGAC00001001063

• Expanding the neurodevelopmental phenotypes of individuals with de novo KMT2A variants Data Access Committee

  Dac EGAC00001001147

• DAC: The genomic landscape of primary cutaneous anaplastic large cell lymphoma (pcALCL)

  Dac EGAC00001001607

• Data Access Committee for the project: Epic arrays from human OB and their mimics

  Dac EGAC00001002482

• The Data Access Committee for Human Olfactory Mucosa Cells (DAC_HOM) at UEF

  Dac EGAC00001002527

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002733

• The EMC-NICHE DAC considers appeals for hematopoietic/niche-related data sets.

  Dac EGAC00001001897

• EGAD00000000074

  Gabriel samples from the Swedish BAMSE Cohort

  Dataset EGAD00000000074

• EGAD00000000075

  Gabriel samples from the Swedish BAMSE Cohort

  Dataset EGAD00000000075

• EGAD00000000076

  Gabriel samples from the Australian Bussleton Cohort

  Dataset EGAD00000000076

• EGAD00000000077

  Gabriel samples from the Australian Bussleton Cohort

  Dataset EGAD00000000077

• EGAD00000000082

  Gabriel samples from the French EGEA Cohort

  Dataset EGAD00000000082

• EGAD00000000083

  Gabriel samples from the French EGEA Cohort

  Dataset EGAD00000000083

• EGAD00000000086

  Gabriel samples from the multicenter GAIN cohort

  Dataset EGAD00000000086

• EGAD00000000087

  Gabriel samples from the multicenter GAIN cohort

  Dataset EGAD00000000087

• EGAD00000000088

  Gabriel samples from the Karelia Allergy Study

  Dataset EGAD00000000088

• EGAD00000000089

  Gabriel samples from the Karelia Allergy Study

  Dataset EGAD00000000089

• EGAD00000000090

  Gabriel samples from the Russian KMSU cohort

  Dataset EGAD00000000090

• EGAD00000000091

  Gabriel samples from the Russian KMSU cohort

  Dataset EGAD00000000091

• EGAD00000000092

  Gabriel samples from the German MAGIS cohort

  Dataset EGAD00000000092

• EGAD00000000093

  Gabriel samples from the German MAGIS cohort

  Dataset EGAD00000000093

• EGAD00000000094

  Gabriel samples from the UK MRCA cohort

  Dataset EGAD00000000094

• EGAD00000000101

  Gabriel samples from the Russian TOMSK cohort

  Dataset EGAD00000000101

• EGAD00000000102

  Gabriel samples from the Russian TOMSK cohort

  Dataset EGAD00000000102

• EGAD00000000103

  Gabriel samples from the Russian UFA cohort

  Dataset EGAD00000000103

• EGAD00000000104

  Gabriel samples from the Russian UFA cohort

  Dataset EGAD00000000104

• EGAD00000000105

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000105

• EGAD00000000106

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000106

• EGAD00000000107

  Gabriel samples from the multicenter occupational cohort

  Dataset EGAD00000000107

• EGAD00000000108

  Gabriel samples from the UK AUGOSA cohort

  Dataset EGAD00000000108

• EGAD00000000109

  Gabriel samples from the UK SEVERE cohort

  Dataset EGAD00000000109

• The colon KRAS/BRAF variants detection set

  Dataset EGAD00001000835

• Mesothelima_OSCHP_Files

  Oncoscan CHP files for the Mesothelemia Project

  Dataset EGAD00010001540

• Translational Gastroenterology Unit, University of Oxford Data Access Committee for the EPIC-CD study

  Dac EGAC00001003481

• The University of Hong Kong Gastric Cancer Organoids RHO Signaling Study Data Access Committee

  Dac EGAC00001002705

• Data access committee for datasets generated by the Tampere University Computational Biology research group

  Dac EGAC50000000177

• Targeted next-generation sequencing of 13 chordoid gliomas of the third ventricle

  Study EGAS00001002733

• scATAC-seq and combined scRNA-seq of the human first trimester neurodevelopment

  Study EGAS00001007472

• Data access committee handling data access requests for biomarker data from the clinical trial IMmotion150.

  Dac EGAC00001000946

• The genomic landscape of early-stage ovarian high grade serous carcinoma Data Access Commitee

  Dac EGAC00001002547

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001002708

• The Chinese University of Hong Kong (CUHK) Circulating Nucleic Acids Research Group (CNARG)

  Dac EGAC00001003026

• EGAD00000000073

  Gabriel samples from the 1958 British Birth Cohort

  Dataset EGAD00000000073

• EGAD00000000084

  Gabriel samples from the German Gabriel Advanced Survey

  Dataset EGAD00000000084

• EGAD00000000085

  Gabriel samples from the German Gabriel Advanced Survey

  Dataset EGAD00000000085

• The paired FF/FFPE colon set, Exome-Seq

  Dataset EGAD00001000834

• DAC Endoresist

  Data access committee for the Endoresist project of panel sequencing: Professor Johan Hartman

  Dac EGAC50000000174

• Data Access Committee for TIX Data

  Data Access Committee for the sequence data for TIX

  Dac EGAC50000000206

• DAC Neurology UKW

  DAC of the Department of Neurology, University Hospital Würzburg (UKW), Würzburg, Germany

  Dac EGAC50000000425

• DAC for BillionToOne

  This is the Data Access Committee for studies published by BillionToOne.

  Dac EGAC50000000418

• CAGEKID: Cancer Genomics of the Kidney

  Study EGAS00001000083

• The whole genome landscape of Burkitt lymphoma subtypes

  Study EGAS00001003778