22984 results for "ega"

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• HipSci - Bleeding and Platelet Disorders - Exome Sequencing - July 2017

  HipSci - Bleeding and Platelet Disorders - Exome Sequencing - July 2017

  Dataset EGAD00001003519

• TenK10K project

  This DAC handles access to data from the TenK10K project, which is comprised of matched whole-genome sequencing (WGS) and single-cell RNA-sequencing (scRNA-seq) datasets.

  Dac EGAC50000000931

• First datasets available in the Federated EGA Network

  In February 2024, a great milestone was reached for the human omics data community: the first datasets are now available in the Federated European Genome-phenome Archive (FEGA). These datasets - hosted by national nodes in Poland, Norway, and Sweden - are discoverable in the EGA portal and accessible according to national laws. These datasets include: From FEGA Poland - The Genomic Map Of Poland From FEGA Norway - CRCbiome: Gut metagenome of Norwegian screening participants using FIT sampling Also from FEGA Norway - Single cell transcriptomics in expanded Tregs of APS-1 patients From FEGA Sweden - A Combined Omics and Tissue Biobank for Paediatric Cancers The establishment of these datasets represents a significant step towards achieving the broader objectives of the FEGA; to facilitate the sharing of high-quality human genomic and phenotypic data across borders. “The value for users is twofold: it becomes easier to make data available securely compared to storing data locally, and data becomes easier to find for other researchers. The possibility of reuse improves the chances of both verifying scientific discoveries and reaching groundbreaking conclusions, of benefit to the research community and later also patients,” said Anna Hagwall, project manager and head of human data at FEGA Sweden, NBIS. About Federated EGA FEGA was launched in 2022 as a network to store and lawfully share sensitive human omics data safely. It relies on the technology originally developed by the EGA and support from ongoing collaborations with ELIXIR - a European life sciences infrastructure. FEGA has contributed to and benefitted from the implementation of community standards for sensitive data management including those developed by the Global Alliance for Genomics and Health (GA4GH). “The FEGA concept and the development of the Nordic FEGA nodes have been made possible thanks to several projects coordinated by NeIC,” said Kjell Petersen, FEGA Norway technical lead. Managing human omics data is challenging due to its sheer size and privacy concerns, often resulting in restrictions on how and where sensitive data can be shared. The FEGA network follows a federated data access model whereby sensitive data is stored securely within a local or national jurisdiction, while discovery across the network for data of interest is enabled via a central portal. As of February 2024, the FEGA network comprises seven European national nodes with tens of additional national partners working towards establishing a FEGA node. As the FEGA network continues to onboard nodes from around the world, populated with more and more data, we move closer to a vision of a truly global resource for discovery of and access to sensitive human omics data to accelerate disease research and improve human health. "The Federated EGA network is entering a key phase where the first research datasets are now available across the network. In coming years, we look forward to expanding these datasets to cover key areas such as cancer and rare diseases for the benefit of patients" said Thomas Keane, Group Leader at EMBL-EBI.

  Blog first-datasets-available-in-Federated-EGA

• Data Access Committee of divisions B060 and B062, German Cancer Research Center (DKFZ)

  Dac EGAC00001000219

• EGAD00000000120

  WTCCC2 project Multiple Sclerosis (MS) samples

  Dataset EGAD00000000120

• EGAD00010000584

  WTCCC2 Glaucoma samples using Illumina 670k array

  Dataset EGAD00010000584

• EGAD00010000644

  Affymetrix SNP6.0 cancer cell line exome sequencing data

  Dataset EGAD00010000644

• EGAD00010000234

  WTCCC2 samples from 1958 British Birth Cohort

  Dataset EGAD00010000234

• EGAD00010000250

  NBS control samples

  Dataset EGAD00010000250

• Investigation of the genetic basis of the rare syndrome Post-Transfusion Purpura (PTP)

  Investigation of the genetic basis of the rare syndrome Post-Transfusion Purpura (PTP)

  Dataset EGAD00001000026

• 20 Matched Pair Breast Cancer Genomes

  20 Matched Pair Breast Cancer Genomes

  Dataset EGAD00001000082

• UK10K_OBESITY_SCOOP REL-2011-07-14

  UK10K OBESITY REL-2011-07-14

  Dataset EGAD00001000151

• UK10K_RARE_THYROID REL-2012-01-13

  UK10K_RARE_THYROID REL-2012-01-13

  Dataset EGAD00001000152

• UK10K_RARE_CHD REL-2012-01-13

  UK10K_RARE_CHD REL-2012-01-13

  Dataset EGAD00001000178

• UK10K_RARE_THYROID REL-2012-02-22

  UK10K_RARE_THYROID REL-2012-02-22

  Dataset EGAD00001000187

• UK10K_RARE_CHD REL-2012-02-22

  UK10K_RARE_CHD REL-2012-02-22

  Dataset EGAD00001000192

• UK10K_RARE_THYROID REL-2012-07-05

  UK10K_RARE_THYROID REL-2012-07-05

  Dataset EGAD00001000208

• UK10K_RARE_CHD REL-2012-07-05

  UK10K_RARE_CHD REL-2012-07-05

  Dataset EGAD00001000210

• UK10K_RARE_CHD REL-2012-11-27

  UK10K_RARE_CHD REL-2012-11-27

  Dataset EGAD00001000294

• UK10K_RARE_THYROID REL-2012-11-27

  UK10K_RARE_THYROID REL-2012-11-27

  Dataset EGAD00001000329

• somatic mitochondrial DNA late metastatic samples

  Dataset EGAD00001001015

• Sequencing data for oesophageal and related samples - BOs release 2 (RNA)

  Dataset EGAD00001003840

• DCC_R26.2.PRAD-CNSM-Array

  Raw Array data from the PRAD-CA for ICGC DCC Release27

  Dataset EGAD00010001519

• gz_bjREP

  DNA for 2979 individuals from Guangzhou was extract from peripheral blood and genotyped by Sequenom, with digit-number working memory, visuospatial working memory, recent long-term memory measured.

  Dataset EGAD00010001528