22938 results for "ega"

in 32.27 milliseconds.

• EPIC PDX

  EPIC methylation arrays on PT1-derived PDXs

  Dataset EGAD00010001872

• DNA methylation Arrays

  DNA methylation profiling from 70 Mantle Cell Lymphoma cases

  Dataset EGAD00010001877

• Colorectal cancer cells possess an equipotent capacity to enter a developmental pausing-like state to survive chemotherapy

  Dataset EGAD00001006847

• Whole transcriptome and 850k methylome profiling of human MBM

  Assessment of methylation status of ~850,000 sites

  Dataset EGAD00010002281

• Medulloblastoma Illumina WGS

  Illumina whole genome sequencing of Medulloblastoma Blood, Primary tumor, and Relapse tumor

  Dataset EGAD00001009424

• Medulloblastoma Illumina RNA-Seq

  Illumina RNA-sequencing of Medulloblastoma primary and relapse tumor.

  Dataset EGAD00001009425

• SNParray_CASCADE

  Tumor and matched normal DNA profiling by SNP array

  Dataset EGAD00010002398

• Ashaninka genotype data

  51 Ashaninka individuals from Peru (Pasco) genotyped with Axiom Human Origins (Affymetrix)

  Dataset EGAD00010002434

• Affymetrix_miRNA4.0

  Primary renal cell carcinoma (RCC) by Affymetrix GeneChip miRNA 4.0

  Dataset EGAD00010001564

• Methylation data

  Methylation data on tumor (n=102) and normal nerve (n=7) DNA samples

  Dataset EGAD00010002441

• Methylation_PBL_UC_Tofacitinib

  Longitudinal whole-genome DNA methylation profiling of PBL obtained from UC patients categorized as responders and non-responders

  Dataset EGAD00010002590

• Study2_FiberBlend

  SOMAscan plasma proteome datasets generated from participants consuming the fiber blend snack prototype (study 2)

  Dataset EGAD00010002132

• Study1_PeaFiber

  SOMAscan plasma proteome datasets generated from participants consuming the pea fibre snack prototype (study 1)

  Dataset EGAD00010002133

• KIR region SNP genotypes

  KIR gene content imputation from single-nucleotide polymorphisms in the Finnish population

  Dataset EGAD00010002206

• PDAC Proteomics After Neoadjuvant Therapy

  Shotgun Proteomics, Proteomic characterization of the residual PDAC tumor mass after neoadjuvant chemo or combined chemo-radiation therapy

  Dataset EGAD00010002388

• Semmelweis University - Biophysics Data Access Committee

  This DAC belongs to the dataset entitled: Next generation sequencing on cardiac samples in Hungarian patients of dilated cardiomyopathy.

  Dac EGAC50000000053

• Whole-exome sequencing of buccal mucosa samples

  40 buccal mucosa samples and a paired blood sample were whole-exome sequenced.

  Dataset EGAD50000000080

• Reproducibility of 10x Genomics single cell RNA sequencing method in the immune cell environment

  Study EGAS00001005905

• SCANDARE MACARON 78 bulk-RNAseq HGSOC

  78 bulk-RNAseq from HGSOC patients from SCANDARE MACARON

  Dataset EGAD50000000205

• COVID-19 PBMC single-cell transcriptomics, multiplexed

  COVID-19 PBMC single-cell transcriptomics, multiplexed

  Dataset EGAD50000000188

• RNAsequencing

  RNAsequencing from 271 samples.

  Dataset EGAD50000000312

• Dataset for TIX

  All files for TIX individuals

  Dataset EGAD50000000426

• RNAseq for 4 pdx and 1 cell-line

  RNAseq for #1049, #111, #1217, #206, COV362

  Dataset EGAD50000000032

• DAC IBMsnRNAseq

  This DAC manages the data access to our snRNA-seq and spatial transcriptomic data set on healthy and inflamed human skeletal muscle.

  Dac EGAC50000000220

• Universal targeted haplotyping by droplet digital PCR sequencing

  Universal targeted haplotyping by droplet digital PCR sequencing (Target Capture sequencing)

  Dataset EGAD50000000459

• MAF dataset of Colorectal Cancer Synthetic genomes

  This dataset contains genomic variants data in MAF format from four patients synthetically generated

  Dataset EGAD50000000315

• bfast CohortD ctDNA manifest

  A list of ctDNA samples included in the dataset.

  Dataset EGAD50000000146

• DLBCL cfDNA seq

  Sequencing dataset of 290 DLBCL and HGBL cfDNA samples of paired end 150bp sequencing runs.

  Dataset EGAD50000000602

• Coloured individuals South Africa

  Genotype array data from 152 South African Coloured individuals. Typed on Illumina H3Africa array.

  Dataset EGAD50000000513

• Melanoma post mortem analysis

  This is the affymetrix gene expression data of the metastatic tumours related to this study.

  Dataset EGAD00010001717

• Colorectal cancer functional annotation - ATAC

  ATAC-seq data from multiple colorectal cancer cell lines

  Study EGAS50000000205

• SMPaeds tumour tissue lcWGS

  Low coverage whole genome sequencing (0.5-4X) for both relapse and archival diagnostic tumour tissue.

  Dataset EGAD50000000784

• Tumor Profiler DAC

  The Tumor Profiler DAC is responsible for the access to data generated in the Tumor Profiler Study.

  Dac EGAC50000000199

• PBMC

  Whole-Exome-Sequencing of 5 pooled patients for SNP-based demultiplexing

  Study EGAS50000000654

• Dataset that contains analyses of submission 6

  This is the description of analyses dataset of submission 6

  Dataset EGAD50000001107

• BREAKFAST trial DAC

  Data Access Committee for BREAKFAST trial datasets, IFOM-ETS The AIRC Institute of Molecular Oncology and INT Istituto nazionale Tumori Milano, Italy.

  Dac EGAC50000000401

• Czech Roma and non-Roma array data

  42 Roma and 52 non-Roma Czech volunteers genotyped with the Axiom TM genome-wide human origins array

  Dac EGAC50000000478

• RCIDIBAPS001

  DAC created by the Research Computing platform of IDIBAPS for the submission of 2 WES (Whole exome sequencing) samples provided by Sergi Castellví-Bel

  Dac EGAC50000000466

• cfDNA whole-genome TAPS data for cancer detection DAC

  80x whole-genome sequencing data from circulating tumour DNA pre-treated with TAPS from 91 patients

  Dac EGAC50000000440

• Integrated Genomic and Transcriptomic Analysis Reveals Unique Characteristics of Hepatic Metastases and Pro-metastatic Role of Complement C1q in Pancreatic Ductal Adenocarcinoma

  Study EGAS00001004821

• Single cell sequencing reveals expanded cytotoxic CD4+ T cells and two clusters of peripheral helper T cells in synovial fluid of ACPA+ RA patients

  Study EGAS00001005241

• ITER-FIISC Data Access Committee (FPF)

  DAC for Whole-exome variant calling of individuals from the study of familial pulmonary fibrosis in the Canary Islands.

  Dac EGAC50000000473

• Baulac Lab - Paris Brain Institute

  Raw 10X single-nucleus RNA-seq data from human postoperative brain samples of patients with epilepsy and cortical malformations.

  Dac EGAC50000000546

• DAC for "Cross-species Comparison Reveals Therapeutic Vulnerabilities Halting Glioblastoma Progression" with Prof. Dr. Ana Martin-Villalba(a.martin-villalba@dkfz-heidelberg.de), Santiago Cerrizuela(s.cerrizuela@dkfz-heidelberg.de)

  Dac EGAC00001003564

• Southern African Prostate Cancer Study (SAPCS) 70 whole bloods

  new 70 germline WGS data of prostate cancer patients

  Dataset EGAD50000001626

• Ontario Institute for Cancer Research; Biliary Tract Cancer

  Next Generation Sequencing data from Biliary Tract cancers

  Study EGAS50000000972

• CRISPR_perturbations_IRF4_PRDM1_Bcells

  CRISPR perturbations of IRF4, PRDM1, and AAVS1 (within PPP1R12C gene) in activated B cells

  Dataset EGAD50000002113

• Metabolic requirements of the metastasis-initiating tumour cell population using oral squamous cell carcinoma (OSCC) as a model system

  Study EGAS00001004765

• Longitudinal analysis of treatment induced genomic alterations

  Variant call set (vcf) for three (primary and two recurrent) tumors

  Dataset EGAD00001003164

• Exome Sequencing of Gastric Cancer Samples

  We perform whole exome sequencing on 50 pairs of gastric cancer and matched normal samples.

  Dataset EGAD00001006957

• Stage-1 meta-analysis with GC correction

  Stage-1 meta-analysis with GC correction

  Dataset EGAD00001004800

• Analysis mechanism of CD19- relapse in CARPALL study

  Whole exome sequencing of CD19- relapses in CARPALL study

  Dataset EGAD00001005195

• The UCSF Glioblastoma Genome Project #1

  Dataset contains MeDIP-Seq, MRE-Seq and H3K4me3 ChIP-Seq data on 5 GBM patients.

  Dataset EGAD00001000777

• Exome sequencing of patients with structural brain malformations

  Exome sequencing of 12 DNA samples obtained from patients with structural brain malformations.

  Dataset EGAD00001000345

• High-grade meningioma sequencing data

  Whole genome, whole exome, and custom panel sequencing of high-grade meningioma cohort

  Dataset EGAD00001003220

• Illumina_WGS_CONT

  Whole-genome sequencing on Illumina HiSeq2000/2500 of normal colon control tissue

  Dataset EGAD00001002083

• nccRCC Whole Exome sequencing data

  nccRCC Whole Exome sequencing data (consented samples only)

  Dataset EGAD00001001023

• HipSci - Congenital Hyperinsulinia - RNA Sequencing - July 2017

  HipSci - Congenital Hyperinsulinia - RNA Sequencing - July 2017

  Dataset EGAD00001003534

• Transcriptomic profiling of lymphedema

  RNA-seq of skin from human subjects with and without lymphedema

  Dataset EGAD00001006246

• Cancer Alliance RNA-Seq PolyA

  PolyA selection transcriptome profiling by high-throughput for individualized cancer interpretation

  Dataset EGAD00001006234

• Australian genomes

  Mapped data (bam files) for high-throughput whole genome sequence data for 83 modern Aboriginal Australians

  Dataset EGAD00001002001

• Pancreatic Cancer OICR

  ICGC DCC Release 24, PACA-CA Whole Genome sequence merged alignments

  Dataset EGAD00001003270

• OT2_Illumina_WXS_CONT

  Whole-exome sequencing on Illumina HiSeq2000/2500 of normal colon control tissue (OT2_cohort)

  Dataset EGAD00001003378

• Genentech gallbladder cancer study - exome

  Genentech gallbladder cancer study - exome

  Dataset EGAD00001004853

• Genotype of C3 SNPs in LOTx donors and recipients

  Genotype of C3 SNPs in 140 LOTx donors and recipients pairs.

  Dataset EGAD00001006889

• NABEC Exome-Seq

  Exome sequencing of North American Brain Expression Consortium (NABEC) subject.

  Dataset EGAD00001002886

• OT2_Solid_WXS_BL

  Whole-exome sequencing on AB 5500xl Genetic Analyzer of Blood EDTA (OT2_cohort)

  Dataset EGAD00001003385

• ATAC-seq in colon normal mucosa

  ATAC-seq

  Dataset EGAD00001007690

• Familial Breast cancer dataset

  Illumina HiSeqXTen platform sequencing data of whole genome libraries prepared from 156 matched tumour-normal samples from 78 donors

  Dataset EGAD00001004494

• DSRCT RNAseq

  Desmoplastic small round cell tumor (DSRCT) RNAseq data. 14 tumor samples.

  Dataset EGAD00001003980

• mtWGDS data MS discordant twins

  Paired-end BAM files of mitochondrial whole genome deep sequencing (mtWGDS) analysis

  Dataset EGAD00001002188

• ECCO-GEN EHVol

  Inherited cardiac conditions (ICC) panel sequencing data of Egyptian healthy volunteers.

  Dataset EGAD00001006160

• Whole Genome Sequencing of acral melanoma

  Whole Genome Sequencing of 5 acral melanomas and matched normal samples

  Dataset EGAD00001000944

• Ethiopia_Genome_Project_high_coverage_vcf

  Integrated callset of high coverage Ethiopian genomes from the Pagani et al. 2015 AJHG paper (doi: http://dx.doi.org/10.1016/j.ajhg.2015.04.019)

  Dataset EGAD00001003294

• AI_NF1glioma_WES_control

  The dataset includes 43 matched normal samples from 43 NF1-glioma patients profiled by Whole Exome Sequencing.

  Dataset EGAD00001004374

• Renal TRACERx 100

  Custom panel sequencing data from 1714 clear cell renal cell carcinoma samples

  Dataset EGAD00001004067

• SpainUDP Data Access Committee

  Data access committee handling data access requests for RNAseq data related to the Spanish Undiagnosed Rare Diseases Program SpainUDP cohort.

  Dac EGAC50000000932

• CEHM

  Study of the genetic and epigenetic clonal evolution of blood cancers.

  Study EGAS00001002366

• High-resolution analysis for urinary DNA jagged ends

  High-resolution analysis for urinary DNA jagged ends

  Study EGAS00001005603

• SNP array datas of 'Matched' cancer/PNE

  SNP array data of 31 Matched cancer/PNE samples

  Study EGAS00001003331

• Immune deconvolution output

  Results of comprehensive immune deconvolution analysis through the TIMER2 web portal with algorithms specified in the publication.

  Dataset EGAD00001008789

• WGS data of buffy coat from CRC patients

  WGS data of buffy coat from CRC patients

  Dataset EGAD00001008352

• RBtargetedSeq

  Retinoblastoma is a rare childhood cancer of the retina. We studied retinoblastoma by Targeted Sequencing.

  Dataset EGAD00001008004

• IPF Core Biopsy Study Gene Expression Data

  Matrix of gene x sample RNAseq read count data.

  Dataset EGAD00001007566

• Whole genome sequencing

  Whole genome sequencing of 5 IM samples

  Dataset EGAD00001010157

• RNAseq samples

  20 RNAseq samples of Human CD4+ cells

  Dataset EGAD00001010182

• Molecular effects of TYK2 inhibition

  Transcriptomic profiling of skin biopsies from psoriasis patients following treatment with deucravacitinib

  Dataset EGAD00001008417

• Whole genomes from Sahel

  The dataset includes 43 high coverge (30x) whole genome samples mostly from the Sahelian belt.

  Dataset EGAD00001011812

• RNA-seq of human astroblastomas

  RNA-seq for fusion gene discovery of human astroblastomas

  Dataset EGAD00001009664

• 65 prostate cancer cases transcriptome sequencing

  65 prostate cancer cases transcriptome sequencing

  Dataset EGAD00001000975

• Centroblast Cohort

  miRNA-seq Cohort of 15 Benign Centroblasts

  Dataset EGAD00001001075

• DATA FILES FOR SJINF RNASeq

  DATA FILES FOR SJINF RNASeq

  Dataset EGAD00001001098

• Deep sequencing of melanoma for driver mutations

  Deep sequencing of melanoma for driver mutations

  Dataset EGAD00001001445

• HipSci - Embryonic Stem Cells - RNA Sequencing - April 2016

  HipSci - Embryonic Stem Cells - RNA Sequencing - April 2016

  Dataset EGAD00001002000

• TSACP TruSeq Amplicon Panel dataset

  TSACP TruSeq Amplicon Panel dataset for the TraIT cell line use case

  Dataset EGAD00001002109

• Reverse Capture Hi-C

  Reverse Capture Hi-C

  Dataset EGAD00001002657

• Human small intestinal macrophages whole transcriptome

  RNA sequencing data of human small intestinal macrophage subtypes

  Dataset EGAD00001002744

• Melanoma post mortem analysis

  These are 21 metastatic melanoma exomes matched with 7 germlines from 7 multisite metastatic melanoma cases.

  Dataset EGAD00001005421

• GATCI whole genome sequencing fastqs

  Raw whole genome sequencing data (fastq) for the GATCI project

  Dataset EGAD00001005926

• SPECTA Lung cancer VCF files

  SPECTA Lung cancer VCF files

  Dataset EGAD00001006260

• Purple copy number segments for EGAS00001004572

  Bulk copy number segments from Purple analysis in EGAS00001004572

  Dataset EGAD00001006908

• HipSci - Congenital Hyperinsulinia - Exome Sequencing - July 2017

  HipSci - Congenital Hyperinsulinia - Exome Sequencing - July 2017

  Dataset EGAD00001003520

• DAC for study: "Combination pembrolizumab and radiotherapy induces systemic anti-tumor immune responses in immunologically-cold non-small cell lung cancer."

  This is Data Access Committee will oversee data sharing for sequence data in the EGA study: "Combination pembrolizumab and radiotherapy induces systemic anti-tumor immune responses in immunologically-cold non-small cell lung cancer." This dataset includes 116 bam files from whole exome sequencing on the Illumina HiSeq2500, 102 fastq files from RNA sequencing on the Illumina NovaSeq 6000. The samples analyzed include tumor/normal DNA samples and tumor RNA samples from 72 individuals with non-small cell lung cancer treated with pembrolizumab and SBRT or pembrolizumab alone on the NCT02492568 trial.

  Dac EGAC50000000202

• atrial appendage miRNA-seq in non-, paroxysmal and persistent atrial fibrillation

  64 left atrial appendages from patients without atrial fibrillation (AF) undergoing cardiac surgery, patients with paroxysmal AF and with persistent AF (~20 per group). Trizol RNA isolation, size selection, single end miRNA sequencing on 4 lanes of illumina NextSeq 500. Provided are FastQ files, one per lane per sample. Additional data (e.g. clinical characteristics, RIN values etc.) can be provided upon request. The same RNA samples (62) were used for transcriptome sequencing. Results from transcriptome sequencing are stored in the EGA database and are managed by the same DAC.

  Dataset EGAD00001007694

• Single cell sequencing of human normal breast myoepithelial cells

  The dataset includes 6 FASTQ files with single cell transcriptome sequencing data of normal breast myoepithelial cells from ducts and TDLUs derived from reduction mammoplasties from three patients. Chromium Single Cell 3’ Reagent Kit v2 or v3 (10x Genomics) were used for processing of cells, whereafter sequencing was performed using the Illumina® NextSeq500/550 High Output Kit v2. Cell Ranger was used for generating FASTQ files and files from different lanes were concatenated prior to uploading the data to EGA.

  Dataset EGAD00001008468

• Best Practices for DACs

  Best Practices Data access committees (DACs) are institutional safeguards responsible for ensuring a balance between data protection and accessibility. However, there are no procedural standards that apply across DACs, which can lead to inconsistencies in their reviews and compromise their quality and effectiveness. Standardising DAC processes can foster trust and mutual recognition, paving the way for greater coordination, collaboration, and delegation between DACs and other oversight bodies to improve the efficiency of data access without sacrificing protection. To provide guidance, the following are suggestions for actions a DAC might take upon receiving a data access request: Aim to respond to all initial requests in less than 2 weeks. Failure to do so may result in follow-up emails from the EGA, journals, and ultimately dataset withdrawal. First, check that the data/EGAD number is consistent with your data submission. In other words, ensure that the requester has contacted the correct DAC. Verify that the user will be using the data within the terms of consent by asking them to sign up to the terms within the DAA. Ensure that data users who are granted access to the data comply with the terms of a Data Access Agreement (DAA) and to use the data only in approved ways. Look for an institutional email address for the requester. Search for evidence that the requester is "appropriately qualified/bona fide" for using the data, for example on PubMed, Research Gate, LinkedIn, etc. Confirm that the affiliated organisation is real and that the requester still works there. Inquire with the requester about who should have accounts created at the EGA under the terms of the agreement. If a negative decision is made, promptly communicate it to the requester and support it with the terms of the Data Access Policy that the requester has not met or cannot meet. Keep the information in the DAC up to date. If you leave your institution and are unable to manage data access requests on their behalf, you should add your replacement as a new contact in the DAC. Assist with data access requests for any further questions related to your data. The EGA can only check information that has been deposited in the repository. If the user has a specific question that the EGA cannot answer, we will redirect the user to the DAC. All the EGA studies and datasets referenced in a publication under your DAC must be publicly searchable on the EGA website before the paper is released. If possible, describe the permitted purposes for subsequent research projects, including associated limits and conditions, for all resources hosted in a repository using a common ontology, such as the GA4GH Data Use Ontology (DUO). It is considered best practice to try and release data only to those with an institutional email address. This gives reassurance to the EGA, research participants, and the general public that an appropriate individual is accessing and using the data. To prevent potential data breaches and ensure adherence to GDPR regulations, it is essential that the European Genome-Phenome Archive (EGA) is informed via the Helpdesk team of any changes to the Data Access Committee (DAC). This should be done in addition to any changes being made on the DAC portal. Data Controllers (as per the definition in the DPA) are also responsible for notifying the previous DAC of any modifications. Without proper notification, changes might not be automatically updated in our system, leading to the risk of incorrect permissions being applied and potential data access issues. Therefore, it is imperative that all Data Controllers follow this protocol to maintain data integrity and security.

  Documentation access/data-access-committee/best-practices

• Everything you need to know about Federated EGA Affiliates: Q&A

  Addressing common questions about Federated EGA (FEGA) Affiliates and providing answers. FEGA Affiliates have recently been defined as the third tier within the newly approved “Federated EGA Structure and Organisation” document, alongside Central EGA (CEGA) and the FEGA Nodes. In this blog post, we aim to answer the questions that may arise on this topic. For more general information about FEGA Affiliates, you can refer to this blog post. Let's now start with the questions and answers! What is the difference between a FEGA Affiliate and a FEGA Node? FEGA Nodes A FEGA Node is a national-level service that accepts submissions and provides archiving and access services within a single country's jurisdiction. Nodes provide end-to-end services for submitters in that jurisdiction, including submission support, processing, permissions management, and distribution. FEGA Affiliates A FEGA Affiliate is not a national submission service. Instead, it archives data from its own legal entity and/or selected partner institutions (for example, consortium partners). Affiliates are designed for organisations and consortia that need to keep data stewardship and access decisions within their own governance model, while still enabling discovery through the broader FEGA ecosystem. What do Affiliates commit to? Here is a practical checklist of the core expectations for a FEGA Affiliate. FEGA Affiliate checklist Discovery and metadata Submit non-personal metadata to CEGA to obtain EGA accessions and enable discovery (with metadata validation handled by the CEGA Helpdesk). Operations and resilience Maintain a data storage system and a defined backup/recovery approach. Ensure operational capacity (personnel and infrastructure) to deliver Affiliate services. Maintain systems and practices that support local data security and align with EGA best-practices. Access and user support Provide data distribution or access (e.g in a trusted research environment) to authorised users to datasets hosted at the Affiliate. Provide permissions management for datasets archived by the Affiliate (the CEGA DAC (Data Access Committee) Portal is always at your disposal to use). Provide a minimal helpdesk with sufficient capacity to support relevant DACs and approved users. Membership term Commit to a minimum membership term of four years. Governance and participation (lightweight by design) Affiliates integrate into the FEGA network operationally, but without the committee obligations associated with Nodes. When is becoming an Affiliate the right fit? Consider the Affiliate tier if: You host (or plan to host) controlled-access datasets that must be managed under your organisation’s or consortium’s governance, you want studies to be discoverable through EGA, but need access control and/or distribution to remain local, and you are not aiming to operate a national submission service tier.. What if a FEGA Node already exists in my jurisdiction? We encourage any potential Affiliate to reach out to their national FEGA Node to explore collaboration at the national level. Why? Federated models within a country already exist in FEGA, where a national Node operates like a Central EGA for their country. FEGA Nodes can also represent the interests of any Affiliates within their jurisdiction at the FEGA Committees. FEGA Nodes have experience and can support you on your FEGA journey. Ready to join as a FEGA Affiliate? We’re excited to open this formally defined pathway for organisations and consortia to participate in the federation. If you think the FEGA Affiliate tier fits your needs, start by assessing: Your scope (organisation/consortium-held data rather than public external submissions), Your ability to provide the core services (permissions, distribution/access, helpdesk, monitoring), and Your readiness to submit non-personal metadata to CEGA for accessioning and discovery. To express interest, please contact us here, and we'll help you understand the onboarding steps and how Affiliates integrate into the FEGA network.

  Blog fega-affiliates-q&a

• Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment

  Study EGAS00001003886

• Data Access Committee for the Nichols Group at LHSC

  Dac EGAC00001002164

• EGAD00000000011

  WTCCC1 project Autoimmune Thyroid Disease (ATD) samples

  Dataset EGAD00000000011

• EGAD00000000025

  WTCCC2 project Ulcerative Colitis (UC) samples

  Dataset EGAD00000000025

• EGAD00010000596

  PCGP Ph-likeALL GEA

  Dataset EGAD00010000596

• EGAD00010000598

  PCGP Ph-likeALL SNP6

  Dataset EGAD00010000598

• EGAD00010000610

  Samples from the Greek island of Crete, MANOLIS cohort

  Dataset EGAD00010000610

• EGAD00010000264

  WTCCC2 project samples from Ischaemic Stroke Cohort

  Dataset EGAD00010000264

• Pancreatic adenocarcinoma QCMG 20110901

  Pancreatic adenocarcinoma QCMG 20110901

  Dataset EGAD00001000049

• Genetic variation in Kuusamo

  Genetic variation in Kuusamo

  Dataset EGAD00001000055

• DATA FILES FOR NBL

  Neuroblastoma whole genome sequencing

  Dataset EGAD00001000135

• Matched Pair Cancer Cell line Whole Genomes

  Matched Pair Cancer Cell line Whole Genomes

  Dataset EGAD00001000145

• UK10K_NEURO_FSZNK REL-2012-01-13

  UK10K_NEURO_FSZNK REL-2012-01-13

  Dataset EGAD00001000183

• BRAF and MEK resistant cell line clones

  BRAF and MEK resistant cell line clones

  Dataset EGAD00001000205