22950 results for "ega"

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• Exome

  Exome Seq for EGAS00001001845

  Dataset EGAD00001002160

• CCA targeted sequencing

  CCA targeted sequencing

  Dataset EGAD00001001994

• dataset_CML_WES_VCF

  dataset CML WES VCF

  Dataset EGAD00001002054

• Analysis scripts

  Analysis scripts and output

  Dataset EGAD00001003282

• Exome

  Exome from EGA00001001848

  Dataset EGAD00001002164

• anonymized_GLIPH2

  TCR-beta specificity motifs based on GLIPH2.

  Dataset EGAD00001008794

• WES

  WES

  Dataset EGAD00001008994

• RNA sequencing of chondrosarcoma

  To profile chondrosarcoma patients.

  Study EGAS00001004585

• CGP_CORE_CELL_LINES___RNA_seq

  Graham to complete

  Study EGAS00001000828

• IBD_Whole_Genome_Sequencing_Phase_1

  IBD Whole Genome Sequencing Phase 1

  Study EGAS00001001735

• 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