16624 results for "sec+and+unspecified+malignant+neoplasm"

in 105.06 milliseconds.

• NICHE - RNA-seq of MMR proficient early stage colon cancers

  The dataset includes 29 FASTQ files from single-end total RNA sequencing on Illumina HiSeq2500 and 66 files from 33 paired-end RNA sequencing samples on Novaseq 6000 for 31 pMMR colon cancer patients.

  Dataset EGAD50000001248

• Integrated Multiomics Uncovers Distinct Macrophage Alterations in Human Metabolic dysfunction-Associated Steatohepatitis Progression

  We report single-nuclei RNA sequencing data (n=18) from human livers in metabolic dysfunction-associated steatotic liver disease (MASLD) patients. there are 5 MASH, 4 MASL, 5 control obese and 4 control lean samples.

  Dataset EGAD50000001129

• CAIRO2 - Whole Exome Sequencing (WES)

  Long-term Survival Update and Extended RAS Mutational Analysis of the CAIRO2 Trial: Addition of Cetuximab to CAPOX/Bevacizumab in Metastatic Colorectal Cancer. Whole Exome Sequencing (WES) of 64 metastatic colorectal cancer (mCRC) from CAIRO2 trial. WES data was used for mutational analysis.

  Dataset EGAD50000001140

• CAIRO2 - Shallow Whole Genome Sequencing (sWGS)

  Long-term Survival Update and Extended RAS Mutational Analysis of the CAIRO2 Trial: Addition of Cetuximab to CAPOX/Bevacizumab in Metastatic Colorectal Cancer. Shallow Whole Genome Sequencing (sWGS) of 52 metastatic colorectal cancer (mCRC) samples from CAIRO2 trial. sWGS was used for mutational analysis.

  Dataset EGAD50000001141

• Whole Exome Sequencing (WES) data of PERFECT trial

  Whole exome sequencing (WES) data of patients with resectable esophageal adenocarcinoma treated with neoadjuvant atezolizumab and chemoradiation (PERFECT). 78 matched samples (Tumor-Normal) from 39 patients with resectable esophageal adenocarcinoma of the PERFECT trial. Whole exome sequencing performed for mutation detection analysis.

  Dataset EGAD50000001153

• Genetic architecture of disease in Greenland is shaped by demographic history, fine-structure, and selection - MEGA chip data

  This file set has 1478 Greenlandic individuals scored on the Illumina MEGA array (1,748,250 sites). The data is in PLINK bed/bim/fam format. The individuals originate from the B2018 population survey.

  Dataset EGAD50000000934

• Whole Transcriptome Sequencing Data of prDLBCL

  We used sequenced 30 prDLBCL samples using RNA-seq to evaluate possible fusion events and to get expression profiles.

  Dataset EGAD50000000592

• Raw ONT R9 data: Rapid brain tumor classification from sparse epigenomic data

  This dataset contains 75 Nanopore sequencing experiments using a MinION sequencer and R9 flow cells from 51 patient biopsies. Gzipped tar files containing all fast5 files per sample are provided.

  Dataset EGAD50000000832

• RNAseq data of metastatic breast cancer samples

  Paired-end RNA sequencing data from 28 metastatic breast cancer samples. Sequencing was performed on the Illumina NovSeq 6000 and HiSeq 4000 using TruSeq Stranded mRNA Kit.

  Dataset EGAD50000000818

• Resistance to selective FGFR2 inhibitors across FGFR2-driven malignancies

  18 patients were biopsied at resistance to an FGFR inhibitor with tumor WES and/or WTS performed to identify resistance mechanisms to selective FGFR2 inhibitors across FGFR2-driven malignancies.

  Dataset EGAD50000000439

• TRACERx NSCLC - whole genome sequencing for ctDNA study

  Data used in "An ultra-sensitive and specific ctDNA assay provides novel pre-operative disease stratification in early stage lung adenocarcinoma"

  Dataset EGAD50000000452

• Bulk BCR NGS data from early breast tumours from patients during neoadjuvant therapy

  Bulk B Cell Receptor high-throughput sequencing data across 25 serial breast tumour biopsies obtained from 10 patients during neoadjuvant therapy. The samples were sequenced on an Illumina MiSeq instrument and their raw FastQ files deposited here.

  Dataset EGAD50000000356

• Bulk transcriptomic analyses of monocyte-derived dendritic cells treated with CES1i

  The data published here contains bulk RNA-sequencing (RNAseq) data as obtainedfrom monocyte-derived dendritic cells in treated with/without LPS and with/without CESi (WWL113). Sequencing was performed in a paired-ended fashion on the NovaSeq6000.

  Dataset EGAD50000000344

• WES data for genomic determinants of response and resistance to inotuzumab in B-ALL

  Whole exome sequencing data for 69 samples with B-cell acute lymphoblastic leukemia

  Dataset EGAD50000000097

• hereditary BrEAst Case CONtrol study (BEACCON)

  The BEACCON study aimed to address the lack of power of previous studies to identify novel BC predisposition genes by performing extensive sequencing in 12,000 women (11,511 analysed following exclusions) and further enhancing power by using an ‘extreme phenotype’ design with enrichment of familial non-BRCA1 and BRCA2 cases, compared with a control population of older women with ongoing confirmation of cancer-free status at June 2019. Three-quarters of the 1303 candidate genes screened were selected based on empiric evidence from local (69 multi-case BC families) or international whole exome sequencing studies, and the remainder were included to provide detailed coverage of functional pathways with established associations with BC.

  Dataset EGAD00001007025

• Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing

  Intratumoral heterogeneity (ITH) has been linked to decreased efficacy of clinical treatments. However, although genomic ITH has been characterized in genetic, transcriptomic and epigenetic alterations are hallmarks of esophageal squamous cell carcinoma (ESCC), the extent to which these are heterogeneous in ESCC has not been explored in a unified framework. Further, the extent to which tumor-infiltrated T lymphocytes (TILs) are directed against cancer cells, but how the immune infiltration acts as a selective force to shape the clonal evolution of ESCC is unclear. In this study, we perform multi-omic sequencing on 186 samples from 36 primary ESCC patients. Through multi-omics analyses, it is discovered that genomic, epigenomic, and transcriptomic ITH are underpinned by ongoing chromosomal instability. Based on the RNA-seq data, we observe diverse levels of immune infiltrate across different tumor sites from the same tumor. We reveal genetic mechanisms of neoantigen evasion under distinct selection pressure from the diverse immune microenvironment. Overall, our work offers an avenue of dissecting the complex contribution of the multi-omics level to the ITH in ESCC and thereby enhances the development of clinical therapy.

  Dataset EGAD00001009482

• Molecular risk stratification in patients with T1 colorectal cancer_WES

  The introduction of bowel cancer screening has led to a significant increase in the proportion of patients being diagnosed with asymptomatic, early-stage colorectal cancer (CRC). Although the majority of these patients are successfully treated with surgery alone, a small proportion of patients have 'born-to-be-bad' aggressive lesions with early dissemination leading to distant metastases. Current standard of care histological assessment is unable to distinguish between these aggressive versus non-aggressive early lesions which is essential to provide appropriate clinical management decisions. This study aims to carry out molecular and histological profiling of approximately 300 T1 CRCs in order to develop a molecular stratifier based on the risk of relapse in early-invasive CRC. This novel T1 cohort will represent the world's largest molecularly characterised T1 cohort of samples, with digital pathology assessment alongside whole exome sequencing, copy number variation analysis and 3' RNA-seq. This data will be used to generate a robust panel of molecular and/or histological markers applicable to formalin-fixed paraffin embedded (FFPE) archival tissue which discriminates between T1 lesions based on risk of relapse, which will ultimately be used to inform clinical management of CRC at the earliest stages of the disease.

  Dataset EGAD00001010890

• RNA-seq as a tool for evaluating human embryo competence

  The majority of embryos that are created through IVF do not implant. It seems plausible that rates of implantation would improve if we had a better understanding of molecular factors affecting embryo competence. Currently, the process of selecting an embryo for uterine transfer utilizes an ad-hoc combination of morphological criteria, the kinetics of development, and genetic testing for aneuploidy. However, no single criterion can ensure selection of a viable embryo. In contrast, RNA-sequencing of embryos could yield highly dimensional data, which may provide additional insight and illuminate the discrepancies among current selection criteria. Indeed, recent advances enabling the production of RNA-sequencing (RNA-seq) libraries from single cells have facilitated the application of this technique to the study of some transcriptional events in early human development. However, these studies have not assessed the quality of their constituent embryos relative to commonly used embryological criteria. Here, we perform proof-of-principle advancement to clinical selection procedures by generating high quality RNA-seq libraries from a trophectoderm biopsy as well as the remaining whole embryo. We combine state-of-the-art embryological methods with low-input RNA-seq to develop the first transcriptome-wide approach for use in future predictive embryology studies. Specifically, we demonstrate the capacity of RNA-seq as a promising tool in preimplantation screening by showing that biopsies of an embryo can capture valuable information content available in the whole embryo from which they are derived. Furthermore, we show that this technique can be used to generate a RNA-based digital karyotype, and to identify candidate competence-associated genes. Together, these data establish the foundation for a future RNA-based diagnostic in IVF.

  Dataset EGAD00001005044

• BLUEPRINT ChIP-seq data for cells in the haematopoietic lineages, from adult and cord blood samples.

  ChIP-seq data for cells in the haematopoietic lineages, from adult and cord blood samples.

  Study EGAS00001000326

• Effects of busulfan, fludarabine and clofarabine treatment on human small intestinal organoids generated from healthy donors

  The intestine is vulnerable to chemotherapy-induced toxicity due to its high epithelial proliferative rate, making gut toxicity an off-target effect in several cancer treatments, including conditioning regimens for allogeneic hematopoietic cell transplantation (HSCT). In HSCT, intestinal damage is an important factor in the development of Graft-versus-Host Disease (GVHD), an immune complication in which donor immune cells attack the recipient's tissues. Here, we developed a novel human intestinal organoid-based 3D model system to study the effects of chemotherapy-induced intestinal epithelial damage at the RNA level. We show that chemotherapy conditioning specifically reprograms the intestinal epithelial transcriptome after treatment with either busulfan (3.5μM), fludarabine (15μM) or clofarabine (0.5μM) for 24h. This knowledge can potentially enable us to understand which changes undergo in healthy tissues upon conditioning and how those are related with immune activation typical in GVHD.

  Study EGAS00001007550

• ChIIP-seq and RNA-seq

  epigenome profiling in tumor tissues and paired normal tissues of LUAD patients and transcriptome profiling in tumor tissues of LUAD patients.

  Dataset EGAD00001007066

• Analysis of mutational and proteomic heterogeneity of gastric cancer to monitor post-treatment tumor burden using circulating tumor DNA

  It remains unclear whether complete spectrum of tumor heterogeneity is reflected in circulating tumor DNA (ctDNA). Here, we performed multi-regional target sequencing of primary tumors from 10 patients who underwent surgical resection for gastric cancer. A total of 126 non-synonymous mutations were identified from 30 samples from 10 tumors. Of these, 16 (12.7%) were likely mutations that occurred early in tumor development (i.e., present in all three regions) and were designated founder mutations. Among those validated with highly sensitive digital PCR (dPCR), 93% of non-founder mutations were found in all three regions. Variant allele frequencies (VAFs) of founder mutations were significantly higher than those of non-founder mutations. Phylogenetic analysis demonstrated that five of eight tumors (62.5%, excluding two hypermutator) had at least one identifiable truncal/founder mutation. These findings led us to prioritize founder mutations for ctDNA detection with individually-designed primer/probe sets for dPCR. Marked proteomic diversity was present across the tumor regions both within and between patients independent of mutational status. In preoperative plasma, the average ctDNA VAF of founder mutations was significantly higher than that of non-founder mutations (p = 0.039). Our present data demonstrated that high VAF mutations in the tumor likely represent founder or truncal mutations. However, mutation patterns alone appear insufficient to predict protein heterogeneity. These results suggest that, in practice, mutations having high VAF identified without multi-regional sequencing may be useful for ctDNA monitoring but are inadequate to fully predict proteomic heterogeneity of the tumor.

  Study JGAS000231

• Data Use Ontology (DUO)

  Data Use Ontology Data Use Ontology at EGA The EGA is committed to its involvement in the work of GA4GH. In an effort to enhance data discoverability and streamline data access, EGA have implemented the use of the Data Use Ontology (DUO), based on consent codes as described in Dyke et al. 2017. The Data Use Ontology codes will be displayed on the live dataset page of your submission to advise any would be requestor on how the data can be used and also to enhance data discoverability as users will be able to search on these codes to find applicable datasets. DUO can be browsed online via the Ontology Lookup Service Learn more reading the Data Use Ontology publication and the GA4GH Machine-Readable Consent Guidance! Check our DAC Portal Take The Tour and learn how to add DUO codes to your policy! Term Shorthand Label Description DUO:0000004 NRES no restriction This data use permission indicates there is no restriction on use. DUO:0000042 GRU general research use This data use permission indicates that use is allowed for general research use for any research purpose. DUO:0000006 HMB health or medical or biomedical research This data use permission indicates that use is allowed for health/medical/biomedical purposes; does not include the study of population origins or ancestry. DUO:0000007 DS disease specific research This data use permission indicates that use is allowed provided it is related to the specified disease. DUO:0000011 POA population origins or ancestry research only This data use permission indicates that use of the data is limited to the study of population origins or ancestry. DUO:0000012 RS research specific restrictions This data use modifier indicates that use is limited to studies of a certain research type. DUO:0000015 NMDS no general methods research This data use modifier indicates that use does not allow methods development research (e.g., development of software or algorithms). DUO:0000016 GSO genetic studies only This data use modifier indicates that use is limited to genetic studies only (i.e., studies that include genotype research alone or both genotype and phenotype research, but not phenotype research exclusively) DUO:0000018 NPUNCU not for profit, non commercial use only This data use modifier indicates that use of the data is limited to not-for-profit organizations and not-for-profit use, non-commercial use. DUO:0000019 PUB publication required This data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community. DUO:0000020 COL collaboration required This data use modifier indicates that the requestor must agree to collaboration with the primary study investigator(s). DUO:0000021 IRB ethics approval required This data use modifier indicates that the requestor must provide documentation of local IRB/ERB approval. DUO:0000022 GS geographical restriction This data use modifier indicates that use is limited to within a specific geographic region. DUO:0000024 MOR publication moratorium This data use modifier indicates that requestor agrees not to publish results of studies until a specific date. DUO:0000025 TS time limit on use This data use modifier indicates that use is approved for a specific number of months. DUO:0000026 US user specific restriction This data use modifier indicates that use is limited to use by approved users. DUO:0000027 PS project specific restriction This data use modifier indicates that use is limited to use within an approved project. DUO:0000028 IS institution specific restriction This data use modifier indicates that use is limited to use within an approved institution. DUO:0000029 RTN return to database or resource This data use modifier indicates that the requestor must return derived/enriched data to the database/resource. DUO:0000043 CC clinical care use This data use modifier indicates that use is allowed for clinical use and care. DUO:0000044 NPOA population origins or ancestry research prohibited This data use modifier indicates use for purposes of population, origin, or ancestry research is prohibited. DUO:0000045 NPU not for profit organisation use only This data use modifier indicates that use of the data is limited to not-for-profit organisations. DUO:0000046 NCU non-commercial use only This data use modifier indicates that use of the data is limited to not-for-profit use. Point to Notice: For the consent code DUO:0000007 where data is restricted to use on a specific disease, please accompany it with an appropriate ontology from MONDO e.g., If the data is restricted to the use of research into juvenile idiopathic arthritis the code should be displayed as DUO:0000007; MONDO:0011429.

  Documentation access/data-access-committee/data-use-ontology

• Netherlands Cancer Institute (NKI-AVL) general DAC

  Data is available under reasonable request. All data requests will be reviewed by the NKI IRB and must be supported by the Principal Investigator of the study. The researcher will need to sign a data access agreement with the NKI after approval. Go to https://ega.nki.nl to fill out the form to request access.

  Dac EGAC50000000055

• The Transcriptomic Landscape of Oncogenic PI3K Reveals Key Functions in Splicing and Gene Expression Regulation

  This study includes RNA-seq of paired tumor biopsies from PIK3CA-mutated breast cancer patients that underwent treatment with PI3Kα inhibitors.

  Study phs002840

• Non-invasive bladder cancer cfDNA dataset

  The dataset contains 30 primary bladder cancer patients, 28 recurrent bladder cancer patients and 31 hematuria controls. Shallow WGS of cell-free DNA enzymatic methyl sequencing libraries was performed on an Illumina Novaseq S4 PE150bp. Samples are provided as raw reads without any prior processing.

  Dataset EGAD50000001935

• Epi2Diag raw methylation array data for patients with neurodevelopmental disorders

  Raw methylation array data (Illumina Infinium EPIC v2.0) from patients with rare neurodevelopmental disorders. IDAT files were generated from DNA extracted from whole blood at the ASGARD platform, Inserm U1245, Univ Rouen, CHU Rouen, to investigate new episignatures and provide independent validation datasets for existing episignatures.

  Dataset EGAD00010002724

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90560A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 585 samples; filetype=bam

  Dataset EGAD00001004733

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95660A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1522 samples; filetype=bam

  Dataset EGAD00001004750

• SmartSeq2 index cultures

  SmartSeq2 read out of index cultured cell sorted with the classification and erythroid-myeloid panel developed in main Figure 6.

  Dataset EGAD00001008187

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90600C

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 2055 samples; filetype=bam

  Dataset EGAD00001004735

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90706

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 522 samples; filetype=bam

  Dataset EGAD00001004744

• Colorctal cancer WES/WGS analysis in Dr. Liu’s group in Sun Yat-sen University Cancer Center.

  The samples include paired tumor and normal tissues from 106 patients . High-coverage WES sequencing or whole genome sequencing of DNA samples were performed on the Illumina HiSeq 2000 system

  Dataset EGAD00001003551

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95670B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 636 samples; filetype=bam

  Dataset EGAD00001004754

• Sequencing data for oesophageal and related samples - Ococks, Frankell, Masque Soler et al (ctDNA)

  Data supporting: “Longitudinal tracking of 97 esophageal adenocarcinomas (EAC) using liquid biopsy sampling.” Ococks, Frankell, Masque Soler et al. ctDNA (BAM files) 333 samples

  Dataset EGAD00001006373

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A73044B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 2057 samples; filetype=bam

  Dataset EGAD00001004720

• Genome-wide data of Erasmus Rucphen Family (ERF) Study

  The data consists of 678189 genome-wide polymorphic variants of 3658 individuals from ERF/GRIP region in a variant call format (vcf) file. ERF has been genotyped with different genotyping platform: Illumina 318 k, 350 k, 610 k and Affymetrics 200 k.

  Dataset EGAD00001003571

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95724B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 561 samples; filetype=bam

  Dataset EGAD00001004757

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A75617A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 692 samples; filetype=bam

  Dataset EGAD00001004727

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96150A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 656 samples; filetype=bam

  Dataset EGAD00001004764

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A75616B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 232 samples; filetype=bam

  Dataset EGAD00001004725

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95722A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 968 samples; filetype=bam

  Dataset EGAD00001004755

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96139A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1436 samples; filetype=bam

  Dataset EGAD00001004762

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96145A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 589 samples; filetype=bam

  Dataset EGAD00001004763

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96156A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 648 samples; filetype=bam

  Dataset EGAD00001004765

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90553A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 612 samples; filetype=bam

  Dataset EGAD00001004728

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90553C

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1700 samples; filetype=bam

  Dataset EGAD00001004729

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95670A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 615 samples; filetype=bam

  Dataset EGAD00001004753

• Lifelines-DEEP plasma un-targeted metabolomics 1054 baseline and 311 4-year followup

  Lifelines-DEEP plasma un-targeted metabolomics

  Dataset EGAD00001006953

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95624A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 604 samples; filetype=bam

  Dataset EGAD00001004747

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95724A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 480 samples; filetype=bam

  Dataset EGAD00001004756

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96187A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1222 samples; filetype=bam

  Dataset EGAD00001004770

• 2014_AML Whole genome sequencing analysis result

  This dataset is belong to 2014 whole genome sequenced AML data which is aligned to human reference(human_g1k_v37.fasta). There are 67 paired CR samples from Chunnam University. All samples has passed QC and recalibration steps while aligning to reference.

  Dataset EGAD00001003557

• Whole exome DNA sequencing data of pretreatment tumor biopsies and matched blood samples of patients treated in the OpACIN-neo trial

  The dataset includes whole exome DNA sequencing on pre-treatment tumor biopsies of lymph node metastases (n=60) matched with blood samples (n=60)

  Dataset EGAD00001006730

• RNAseq of resident memory T cells from human lung tumor

  This dataset includes the RNA sequencing of 14 samples. Samples are FACS sorted CD8+ T cells expressing or not the integrin CD103. The paired samples (TRM and non-TRM) were sorted from the tumor of 7 lung cancer patients.

  Dataset EGAD00001006812

• IFNL4 Organoid Transcriptome Profiles

  RNAseq of liver organoids with a dG genotype (B20, nt115, U15) and with a TT genotype (nt5, U16, U19) was performed, which was used to study the impact of IFNλ4 on the cellular response to Sendai viral infection.

  Dataset EGAD00001007820

• Human tumor single-cell RNAseq

  We profiled 7 high-grade gliomas patient brain tumor samples by single-cell RNA-seq and 18 single-nuclei RNA-seq using 10X Chromium 3' techonology. The raw fastq files are provided.

  Dataset EGAD00001008351

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90694B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1222 samples; filetype=bam

  Dataset EGAD00001004743

• Neuroblastoma hybrid capture sequencing panel

  Patient neuroblastoma hybrid capture sequencing panel. 5 samples from 2 donors (BAM files). For each donor, we obtained neuroblastoma tumor samples and neuroblastoma ALKi resistant samples. This dataset was used to study ALKi resistance in neuroblastoma.

  Dataset EGAD00001008343

• Dataset for MCPlus_WGS

  WES/WGS sequencing data of 44 chromothriptic tumor and control runs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001009277

• Detection of Cancer Mutations by Urine Liquid Biopsy in 12 Bladder Cancer Patients

  Set of FASTQ sequences generated from Urine Liquid Biopsy in 12 Bladder Cancer Patients using the IDT PanCancer Panel, Illumina Nextera Flex for Enrichment libraries (aka DNA Prep libraries) and Illumina NovaSeq 2x150bp sequencing.

  Dataset EGAD00001008429

• Spatial transcriptome sequence data from prostate cancer needle biopsies

  Spatial transcriptome sequencing data from prostate cancer needle biopsies. Dataset contains biopsies from before and after androgen deprivation therapy of 3 patients with 8 biopsies per patient in total. 2 sections (replicates) are taken from each biopsy.

  Dataset EGAD00001008636

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90554A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 628 samples; filetype=bam

  Dataset EGAD00001004730

• Korean Advanced Thyroid Cancer Dataset

  Massively-parallel DNA sequencing of 113 advanced thyroid cancers and Massively-parallel RNA sequencing of 25 advanced thyroid cancers

  Dataset EGAD00001004845

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires forlibrary A96176A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 531 samples; filetype=bam

  Dataset EGAD00001004769

• Dnase1l3 deletion causes aberrations in length and end-motif frequencies in plasma DNA

  We showed that mice in which Dnase1l3 had been deleted showed aberrations in the fragmentation of plasma DNA. We also observed a change in the ranked frequencies of end motifs of plasma DNA caused by the Dnase1l3 deletion.

  Dataset EGAD00001005071

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95732A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 928 samples; filetype=bam

  Dataset EGAD00001004759

• Sequencing data for oesophageal and related samples - Rogerson et al (RNA)

  Data supporting: "Repurposing of KLF5 activates a cell cycle signature during the progression from Barrett’s Oesophagus to Oesophageal Adenocarcinoma." Rogerson et al. RNA-seq data 2 samples

  Dataset EGAD00001005915

• Systematic analysis of paralogous regions in 41,755 exomes uncovers clinically relevant variation

  As part of the study "Systematic analysis of paralogous regions in 41,755 exomes uncovers clinically relevant variation" we wanted to identiffy the SNVs that are located in STRC and which ones in STRCP1. For this we applied targeted long-read sequencing.

  Dataset EGAD00001011305

• Somatic mutation analysis based on Whole exome Sequencing (WES) of multiple tumor biopsies, patient-derived spheroids and leukocyte DNA from colorectal cancer patients (vcf files)

  Somatic mutations were called using whole exome Sequencing (WES) data from colorectal cancer samples (dataset EGAD00001003821) using MuTect2, with matched constitutional WES-data obtained from leukocytes samples as reference.

  Dataset EGAD00001003823

• 2016 AML prospective_v1 analysis result

  This data is belong to 2016 AML prospective_v1 patients' genome data which is aligned to human reference(human_g1k_v37.fasta). There are 5 paired tumor/normal samples from SNUH. All samples has passed QC and recalibration steps while aligning to reference.

  Dataset EGAD00001003928

• Transcriptome profiling for Korean Early Onset Gastric Cancer

  To identify transcriptome profile in this unique subset of gastric cancers, RNA-seq analyses were performed using frozen cancer tissue. Adjacent normal tissue of the same patients were used in differently expressed gene selection and fusion gene prediction.

  Dataset EGAD00001002187

• RNAseq fastq files of MCL control, NOTCH1 & NOTCH2 samples

  Raw RNAseq paired end fastq files of MCL control samples (3 samples) and MCL samples transduced with a retrovirus expressing mutated NOTCH1 (3 samples) or NOTCH2 (3 samples). Instrument used: Illumina NovaSeq 6000

  Dataset EGAD00001008346

• Japanese liver cancer RNAseq

  RIKEN collection of RNA-seq reads for 458 liver cancer samples and matched normal liver from 247 donors.

  Dataset EGAD00001001880

• Pheochromocytoma paraganglioma single nuclei RNA-seq

  Single nuclei RNA sequencing (snRNA-seq) on tissue samples from 11 patients (SDHB and RET). Files are fastq files of 10x-5'scRNAseq libraries.

  Dataset EGAD00001008739

• GenomeDenmark Phase 2 - variants called on chrY for 62 males.

  Variants on the Y chromosome for 62 danish males in VCF format from the GenomeDenmark Phase 2 cohort. Variants were called using reference based approaches such as the haplotype-caller module from GATK and using alignment of denovo assemblies to the reference using ASMvar.

  Dataset EGAD00001003186

• Fecal 16S UC sequencing data

  Fecal 16S-V4 rRNA gene sequence data from NCT02749630 ulcerative colitis patients. Stool samples were collected at screening as well as on days 29, 43, 64, 85, and 134 processed for 16SV4 rRNA gene sequencing

  Dataset EGAD00001008818

• Single-nucleus APP Isoforms in Down Syndrome Brains (long-read)

  16 DS and Control brain samples were prepared using the 10X Single Cell 3' v3 kit. Pre-fragmented libraries were selectively amplified for APP using custom designed primers.

  Dataset EGAD00001008284

• RNA-seq for identification of neotranscripts

  This dataset contains RNA-seq data (Fastq files of paired-end data) of 18 patient tumors used for identification of neotranscripts in 18 different types of fusion-driven sarcomas and other cancers as described in Vibert et al., Mol Cell 2022 (PMID: 35550257)

  Dataset EGAD00001008832

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90685

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 481 samples; filetype=bam

  Dataset EGAD00001004738

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96156B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 375 samples; filetype=bam

  Dataset EGAD00001004766

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96165A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 755 samples; filetype=bam

  Dataset EGAD00001004767

• CBD-RAW-REPERTOIRE-B: B cell bulk repertoire sequence files

  fastq and filtered fasta files for B-cell receptor sequencing. For further information regarding this dataset, please contact Rachael Bashford-Rogers at contact@combat.ox.ac.uk.

  Dataset EGAD00001007960

• Whole Genome Bisulfite sequencing data for Oncogenic 3D genome conformations identify novel therapeutic targets in ependymoma

  This dataset contains Whole Genome Bisulfite sequencing data from seven samples (six tumor samples and on tumor derived cell line). Sequencing was performed Illumina HiSeq 2000 machine resulting in 14 FASTQ files.

  Dataset EGAD00001008805

• Whole-exome sequencing of HCCs undergoing sorafenib treatment

  Dataset consists of 25 HCCs and 9 non-tumor livers from 8 patients.

  Dataset EGAD00001008216

• RNAseq of breast cancer bone metastases PDX resistant of responder to IACS-010759 treatment

  Fastq files from RNAseq of breast cancer bone metastases PDX after treatment with IACS-010759. Five PDX are resistants to treatment and 6 are responders.

  Dataset EGAD00001009072

• WES CRAM files of HUG-CEL Covid-19 Genomics Study

  Whole Exome Sequencing Dataset (CRAM files) of 415 admixed Brazilians with Covid-19 extreme phenotypes from recovered nonagenarians and centenarians to deceased adults.

  Dataset EGAD00001009652

• Single-nucleus SPP1 Isoforms in Down Syndrome Brains (long-read)

  16 DS and Control brain samples were prepared using the 10X Single Cell 3' v3 kit. Pre-fragmented libraries were selectively amplified for SPP1 using custom designed primers.

  Dataset EGAD00001008285

• Single-nucleus BIN1 Isoforms in Down Syndrome Brains (long-read)

  16 DS and Control brain samples were prepared using the 10X Single Cell 3' v3 kit. Pre-fragmented libraries were selectively amplified for BIN1 using custom designed primers.

  Dataset EGAD00001008288

• CBD-RAW-SC-VDJ-T: 10X Single-Cell VDJ TCR

  Raw Illumina sequencing data. For further information regarding this dataset, please contact Benjamin Fairfax and Rachael Bashford-Rogers at contact@combat.ox.ac.uk.

  Dataset EGAD00001007965

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90560B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 766 samples; filetype=bam

  Dataset EGAD00001004734

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90648B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 620 samples; filetype=bam

  Dataset EGAD00001004736

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90689A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 378 samples; filetype=bam

  Dataset EGAD00001004739

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90694A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 493 samples; filetype=bam

  Dataset EGAD00001004742

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95736A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1072 samples

  Dataset EGAD00001004761

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A96171A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 492 samples; filetype=bam

  Dataset EGAD00001004768

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A75616A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 230 samples; filetype=bam

  Dataset EGAD00001004724

• CYPTAM - PacBio SMRT sequencing

  Dataset contains CYP2D6 sequencing data of 566 individuals who used tamoxifen as adjuvant breast cancer therapy. Phenotype data consists of the ratio between the metabolites endoxifen and desmethyltamoxifen (Metabolic ratio (MR)) as a proxy for CYP2D6 enzyme activity. Each sample is linked to one bam-file containing the CYP2D6 sequence.

  Dataset EGAD00001005972

• Clinal phenotype dataset

  Clinical data from IMvigor010: Clinical data include race, sex, baseline ecog, tumor stage, node status, prior neoadjuvant, PD-L1 status, number lymph nodes resected, pridis, arm, overall survival and disease free survival for 809 patients across IMvigor010.

  Dataset EGAD00001007576

• Lung Multi-site Targeted Sequence Capture

  DNA extracted from multiple biopsies taken from different areas of primary lung tumours will be subjected to targeted re-sequencing and analysed in order to assess intra-tumour heterogeneity with respect to mutations in a selection of cancer related genes.

  Dataset EGAD00001001017