22938 results for "ega"

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• IN UTERO ORIGIN OF MYELOFIBROSIS PRESENTING IN ADULT MONOZYGOTIC TWINS AFTER A PROLONGED DISEASE LATENCY

  Study EGAS00001005744

• S3 Swedish schizophrenia case-control study

  Study EGAS00001006772

• A capture-based next-generation sequencing panel for the molecular characterization of chronic lymphocytic leukemia

  Study EGAS00001006975

• Baseline RNAseq analysis of POETIC Good/Poor Responders to aromatase inhibitors based on change in Ki67

  Study EGAS00001007302

• The genomic echoes of the last Green Sahara on the Fulani and Sahelian people

  Study EGAS00001007499

• Neoantigen Peptides derived from V(D)J-recombined Immunoglobulins Drive Outgrowth of Cytolytic CD8+ T-cells

  Study EGAS00001008229

• Karolinska Institutet - Susanne Schlisio Lab

  DAC for Susanne Schlisio Lab, Department of Oncology-Pathology, Karolinska Institutet, Sweden

  Dac EGAC50000000603

• IRCC

  DACs of Translational Cancer Medicine laboratory of Candiolo IRCC institute

  Dac EGAC50000000068

• Institute of Pathology at the University Hospital of Lausanne CHUV

  Prof Laurence de Leval

  Dac EGAC50000000314

• Transposable elements are co-opted as oncogenic regulatory elements by lineage-specific transcription factors in prostate cancer

  Study EGAS00001007188

• Transcriptome analysis of leiomyosarcoma

  We performed transcriptome analysis of leiomyosarcoma

  Study EGAS50000000594

• Transcriptomic profiling of prostate cancer metastasis xenograft models reveals conservation of bone microenvironment signatures

  Study EGAS00001004770

• BIOCLOCK Study Methylation Data

  Whole blood methylation data measured using Illumina MethylationEPIC v2.0 array

  Dataset EGAD00010002801

• SNParray_BadBRCA

  Tumor and matched normal DNA profiling by SNP array

  Dataset EGAD00010002734

• Epigenetic reprogramming shapes monocytes and heterologous T cell derived cytokine responses in BCG vaccination

  Study EGAS00001007498

• Homologous recombination DNA repair deficiency and activity of PARP inhibition in primary triple negative breast cancer

  Study EGAS00001004190

• Next Generation Sequencing Characterization of Hematopoietic Stem and Progenitors Cells in Human Systemic Lupus Eryhtematosus

  Study EGAS00001003679

• Altered neutrophil and granulopoiesis biology underlie a poor outcome sepsis endotype

  Study EGAS00001006283

• Multi-modal analysis of pediatric pilocytic astrocytomas reveals tumor location-associated cellular and transcriptional heterogeneity

  Study EGAS00001008187

• Anaplastic_Meningioma_V3__cancer_gene_panel

  Investigation into causal genes underlying anaplastic meningioma

  Study EGAS00001001155

• ATRT ATACSeq

  ATRT ATACSeq

  Dataset EGAD00001004847

• PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  Dataset EGAD00001004843

• snv calls

  single nucleotide variant calls from somatic sniper, vcf format

  Dataset EGAD00001003752

• JMML targeted sequencing of candidate genes

  JMML targeted sequencing of candidate genes

  Dataset EGAD00001001451

• WGS data from Yemen

  High-coverage sequencing data from 47 Yemenis samples

  Dataset EGAD00001003097

• Cell line exome sequencing

  Cell line exome sequencing

  Dataset EGAD00001003550

• PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  Dataset EGAD00001004844

• Multisample2 WES

  Whole Exome Sequencing Data from paediatric solid tumors

  Dataset EGAD00001004014

• HIPO-P002 Whole genome

  WGS from EGAS00001001857

  Dataset EGAD00001002528

• WES of TGA

  Whole exome sequencing data for 381 TGA probands

  Dataset EGAD00001005809

• Schwannomatosis lcWGS data

  Low-coverage whole genome sequencing of sporadic schwannomatosis patients

  Dataset EGAD00001000964

• DATA FILES FOR SJCPC-WGS

  DATA FILES FOR SJCPC-WGS

  Dataset EGAD00001001065

• WGS minibam files for SJLIFE

  WGS minibam files for SJLIFE

  Dataset EGAD00001003396

• ATRT whole exome sequencing

  ATRT whole exome sequencing

  Dataset EGAD00001004576

• Orolova hIPSC data access policy

  DAC associated with the hiPSC cell lines generated by the Orlova lab.

  Dac EGAC50000000744

• KUI7051

  Nanopore pericentromere normal methylation

  Dataset EGAD00001009885

• Bulk RNAseq of mCRC organoids

  Transcriptomic profiles of 6 mCRC organoids

  Study EGAS00001006727

• Second hit rare genetic variants in families with seemingly GBA gene associated Parkinson’s disease

  Study EGAS00001004777

• RNA-seq SE

  Transcriptomics of single-end RNA-seq data

  Study EGAS00001006521

• RNA-seq PE

  Transcriptomics of paired-end RNA-seq data

  Study EGAS00001006522

• Transcriptome

  16 CRC patients transcriptome data

  Dataset EGAD00001009091

• pacbio dataset 3

  This dataset consists of 1 sample

  Dataset EGAD00001008747

• Genomic Sequencing of Triple Negative Breast Cancer - CUTseq data

  CUTseq data for study EGAS00001008261

  Dataset EGAD00001015684

• Transcriptome

  Transcriptome from EGAS00001001846

  Dataset EGAD00001002163

• PAGE Dataset Apr 2018 (Ref: PAGE Lancet 2019)

  PAGE Dataset Apr 2018 (Ref: PAGE Lancet 2019)

  Dataset EGAD00001004839

• PAGE Dataset Apr 2018 (Ref: PAGE Lancet 2019)

  PAGE Dataset Apr 2018 (Ref: PAGE Lancet 2019)

  Dataset EGAD00001004840

• PAGE Dataset Apr 2018 (Ref: PAGE Lancet 2019)

  PAGE Dataset Apr 2018 (Ref: PAGE Lancet 2019)

  Dataset EGAD00001004841

• PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  Dataset EGAD00001004842

• Oncolytic virotherapy mediated anti-tumor response in primary cutaneous B-cell lymphoma: a single-cell perspective

  Study EGAS00001004904

• Data Use Ontology (DUO) at EGA

  For those of you that follow the updates of GA4GH you will have seen the unanimous approval of the steering committee for DUO to be included in its suite of technical standards for the sharing of genomic and health related data. DUO has three main features: Each term has been generated by the community and includes a human readable definition that can be expanded where necessary. It is a machine-readable file that encodes how that data can be used and how a researcher intends to use the data. Can be implemented alongside an advanced search algorithm which would allow authenticated users to query and gain access to datasets pertaining to their research. e.g., an industry researcher working on cancer could potentially be matched to any dataset that is allowed for commercial use and for cancer research and offered the opportunity to fetch them automatically. So, what does this mean for EGA? EGA as a driver project has adopted this standard and will be utilizing it for two main purposes in the first instance. i) It will allow EGA users to instantly identify what terms they will need to agree to as part of any Data Access Agreements. This will save valuable time for both applicants and Data Access Committees alike - as you will be able to see if you are likely to be able to access the data based on your research intentions and working background. ii) In the future it will allow users to be able to search for data based on Data Use Ontology terms e.g., you could search for all data that can be used for General Research Use (GRU). As EGA moves forwards submitters will be asked to align their data access policies with DUO so that their dataset(s) can be tagged appropriately on our web pages. If you would like to add DUO to any of your existing datasets, or to any future datasets, do please just let us know.

  Blog data-use-ontology