22950 results for "ega"

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• Exome sequencing

  Exome sequence Pfizer & TwinsUK

  Study EGAS00001001194

• RNA-seq

  RNA-seq data

  Dataset EGAD00001011376

• Whole-genome sequencing

  Whole-genome sequencing data

  Dataset EGAD00001011377

• 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

• Genomic landscape of childhood acute lymphoblastic leukemia

  Abstract in preparation

  Study EGAS00001001317

• Copy-choice recombination during mitochondrial L-strand synthesis causes DNA deletions

  Study EGAS00001003148

• Epitope-linked Ig-seq of self-reactive plasma cells in celiac disease

  Study EGAS00001003658

• Genentech DevSci DAC

  Dac EGAC00001002700

• High-grade serous ovarian carcinoma organoids as models of chromosomal instability Data Access Committee

  Dac EGAC00001003204

• TRACERx Non-small cell lung cancer

  Dac EGAC00001000632

• Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud university medical center

  Dac EGAC00001003193

• Barts Cancer Institute - Follicular Lymphoma Whole Genome Sequencing Project Data Access Committee

  Dac EGAC00001000086

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

  Dac EGAC00001000136

• Data Access Committee: Whole Genome Sequencing of 18 sequential samples from 3 CLL patients

  Dac EGAC00001000221

• Department of Pathology and Tumor Biology, Kyoto University Data Access Committee

  Dac EGAC00001000273

• Oxford Human Islet Data Access Committee

  Dac EGAC00001000335

• ICR_pHGG_Data_Access_Committee

  Dac EGAC00001000384

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

  Dac EGAC00001000558

• POPS Pregnancy Outcome Prediction Study

  Dac EGAC00001000582

• small RNA-Seq and RNA-Seq of cortical tubers from sufferers of tuberous sclerosis complex

  Dac EGAC00001000672

• DAC for Transcriptome analysis in very preterm infants with chronic lung disease after birth

  Dac EGAC00001000698

• RNA sequencing data of 66 matched primary and recurrent high grade serous ovarian cancer

  Dac EGAC00001000741

• DAC: Brain transcriptome of hereditary cerebral haemorrhage with amyloidosis–Dutch type (HCHWA-D)

  Dac EGAC00001000771

• Myeloma Research Laboratory, University of Adelaide and South Australian Health and Medical Research Institute

  Dac EGAC00001000849

• Division of Cancer Genomics, National Cancer Center Research Institute Data Access Committee

  Dac EGAC00001000957