22939 results for "ega"

in 19.01 milliseconds.

• SF11082

  RNA-exome

  Dataset EGAD00001006773

• SE4567

  RNA-exome

  Dataset EGAD00001006836

• SE9581

  RNA-exome

  Dataset EGAD00001006837

• RFX6-mediated dysregulation defines human β cell dysfunction in early type 2 diabetes

  Study EGAS00001006273

• Characterization of a novel MEF2D-BCL9 fusion positive acute lymphoblastic leukemia cell line RNA-Seq derived

  Study EGAS00001006803

• DNA methylation using EPIC array in UK population study

  See www.understandingsociety.ac.uk

  Study EGAS00001002836

• HCA_Heart_Adult_Wellcome_spatial

  Spatial transcriptome analysis of the human heart

  Study EGAS00001007848

• ADAPTeR Study: TCRseq data from ccRCC patients

  TCRseq from ccRCC patient

  Study EGAS00001005639

• Mutations in SKI in Shprintzen-Goldberg syndrome lead to attenuated TGFB responses through SKI stabilization

  Study EGAS00001004908

• HCA_Thymus_Disease_DiGeorge_Transplant_Alex_Kreins_Wellcome_Fellowship_Spatial

  Spatial transcriptomics study of thymic transplant biopsies

  Study EGAS00001006437

• Plasma DNA end analysis (mouse)

  Plasma DNA end analysis (mouse)

  Study EGAS00001006700

• Genome-wide sequencing of (cell-free) DNA from Nipple aspirate fluid of Breast cancer patients

  Study EGAS00001007214

• Cell-free DNA sequencing data of healthy control, atrophic gastritis, and gastric cancer patients’ blood

  Study EGAS00001007308

• Gene expression matrix

  Log2 gene expression count data from RNA sequencing.

  Dataset EGAD00001008793

• CyclomicsSeq_Synthetic_Flongle

  Contains Synthetic samples sequenced on Flongle flowcells

  Dataset EGAD00001010152

• GFD metagenomic sequencing

  Sequencing of fecal metagenomic libraries

  Dataset EGAD00001007639

• Whole genome sequencing

  16 CRC patient WGS data

  Dataset EGAD00001009090

• KUI7052

  Nanopore pericentromere hypomethylation

  Dataset EGAD00001009886

• CyclomicsSeq_PREDICT_R10

  Contains PREDICT samples sequenced on R10 flowcells

  Dataset EGAD00001010153

• Transcriptome

  Transcriptome from EGAS00001001845

  Dataset EGAD00001002161

• ATRT RNASeq

  ATRT RNASeq

  Dataset EGAD00001004837

• 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

• Molecular evolution and clinical trajectories of prostate cancer identifies novel markers for risk stratification - additional data

  Study EGAS00001004884

• BC Cancer, part of the Provincial Health Services Authority, Technology Development Office, Data Access Committee (PHSA TDO DAC)

  Dac EGAC00001003254

• Institute for Refractory Cancer Research (IRCR) Data Access Committee

  Dac EGAC00001000272

• Co-infection of fungi and bacteria in brain tissue from elderly persons and patients with Alzheimer's disease.

  Dac EGAC00001000797

• DAC for study Hominin-specific NOTCH2 paralogs expand human cortical neurogenesis through regulation of Delta/Notch interactions.

  Dac EGAC00001000816

• Wargo Group Data Access Committee for Neodjuvant Immune Checkpoint Blockade in High-Risk Resectable Melanoma

  Dac EGAC00001001008

• DAC - Molecular patterns of response and treatment failure after frontline venetoclax combinations in older patients with AML

  Dac EGAC00001001461

• DAC for study the impact of urbanization and diet on innate immune responses in healthy Tanzanians

  Dac EGAC00001001531

• DAC: Whole-genome and transcriptome sequencing of primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma

  Dac EGAC00001001533

• T cell receptors of pathogenic CD4 T cells isolated by using distinct phenotypic markers in celiac disease

  Dac EGAC00001002292

• Single-cell RNA sequencing of a PBMC collected from a male with 45,X/48,XYYY karyotype

  Dac EGAC00001002373

• Patient-derived tumor organoids for personalized medicine in a rare case of hepatocellular carcinoma with neuroendocrine differentiation.

  Dac EGAC00001002458