23074 results for "ega"

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• Bulk RNAseq of mCRC organoids

  Transcriptomic profiles of 6 mCRC organoids

  Study EGAS00001006727

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

  PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  Dataset EGAD00001004843

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

  Study EGAS00001004777

• KUI7051

  Nanopore pericentromere normal methylation

  Dataset EGAD00001009885

• RNA-seq SE

  Transcriptomics of single-end RNA-seq data

  Study EGAS00001006521

• ATRT ATACSeq

  ATRT ATACSeq

  Dataset EGAD00001004847

• Transcriptome

  16 CRC patients transcriptome data

  Dataset EGAD00001009091

• Genomic Sequencing of Triple Negative Breast Cancer - CUTseq data

  CUTseq data for study EGAS00001008261

  Dataset EGAD00001015684

• pacbio dataset 3

  This dataset consists of 1 sample

  Dataset EGAD00001008747

• HIPO-P002 Whole genome

  WGS from EGAS00001001857

  Dataset EGAD00001002528

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

  PAGE2 Dataset Nov 2017 (Ref: PAGE2 GIM 2018)

  Dataset EGAD00001004844

• WES of TGA

  Whole exome sequencing data for 381 TGA probands

  Dataset EGAD00001005809

• 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

• Multisample2 WES

  Whole Exome Sequencing Data from paediatric solid tumors

  Dataset EGAD00001004014

• Cell line exome sequencing

  Cell line exome sequencing

  Dataset EGAD00001003550

• 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

• 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

• 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

• Synthetic modeling reveals HOXB genes are critical for the initiation and maintenance of human leukemia

  Study EGAS00001003627

• Evaluation of protocols for rRNA depletion-based RNA sequencing of nanogram inputs of mammalian total RNA

  Study EGAS00001003849

• DAC - Comparison of sequencing assays for sensitive detection of circulating tumour DNA in stage IA-IV breast cancer

  Dac EGAC00001002549

• Exome Resequencing of Progressive Hearing Loss

  Exome resequencing of progressive hearing loss.

  Study EGAS00001000001

• Data Access Committee for data from EGAS00001002864: Genome analysis of oesophageal cancer and Barretts oesophagus

  Dac EGAC00001000863

• 1000IBD Data Access Committee UMCG

  Dac EGAC00001000791

• Molecular Oncology Group, PICR

  Dac EGAC00001000095

• This DAC is to control access to data contained within dataset EGAS00001001147, for Myeloma XI clinical trial patients.

  Dac EGAC00001000307

• Centre for Genomic Regulation - Beta Cell Genome Regulation Lab

  Dac EGAC00001000853

• DAC for present-day Central Asia genotype data at the Centre for GeoGenetics, Natural History Museum of Denmark.

  Dac EGAC00001000894

• DAC for "The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemia"

  Dac EGAC00001001501

• Detection of ctDNA in Plasma of Patients with Clinically Localised Prostate Cancer is Associated with Rapid Disease Progression

  Dac EGAC00001001718

• BCRC-ICGS (Bladder Cancer Research Centre, Institute of Cancer and Genomic Sciences, Univ. of Birmingham) Data Access Committee

  Dac EGAC00001001982

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

  Dac EGAC00001002007

• RNA-sequencing of tumors from 45 patients with recurrent or metastatic gastric cancer treated with immune checkpoint inhibitors

  Dac EGAC00001002295

• Whole-exome sequencing of 47 microsatellites stable Early-onset sporadic rectal cancer (EOSRC) tumors and corresponding normal samples.

  Dac EGAC00001002502

• DAC for Clonal somatic copy number altered driver events inform drug sensitivity in high-grade serous ovarian cancer

  Dac EGAC00001002644

• EGAD00000000046

  RNA-SEQ data from 3 recurrent and 1 ovarian primary Granulosa Cell Tumour samples

  Dataset EGAD00000000046

• EGAD00000000047

  Signal data for from 3 recurrent and 1 ovarian primary Granulosa Cell Tumour samples

  Dataset EGAD00000000047

• EGAD00010000662

  Finnish population cohort genotyping

  Dataset EGAD00010000662

• EGAD00010000787

  Epigen-Brasil samples using HumanOmni2.5

  Dataset EGAD00010000787

• EGAD00010000377

  DNA methylation analysis of 6 primary lymphoma samples

  Dataset EGAD00010000377

• EGAD00010000379

  DNA methylation analysis of 2 peripheral blood samples

  Dataset EGAD00010000379

• EGAD00010000570

  Imputation-based meta-analysis of severe malaria in Kenya.

  Dataset EGAD00010000570