23164 results for "ega"

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• Swedish schizophrenia patients

  The genomic sequence of brain expressed miRNA genes was sequenced in Swedish schizophrenia patients

  Dataset EGAD00001001849

• miRNA seq data of 13 cases

  miRNA seq data of 13 cases (MMML)

  Dataset EGAD00001001632

• Primary angiosarcoma Whole Genome Sequencing

  Whole genome sequencing of primary angiosarcoma

  Dataset EGAD00001001266

• LCNEC study - RNAseq data set

  RNAseq Data set

  Dataset EGAD00001003801

• Whole genome sequencing data of ccRCCs

  Whole genome sequencing data of ccRCCs were utilized for somatic variations calling.

  Dataset EGAD00001004588

• Exome sequencing of nine PCC/PGL tumors

  Exome sequencing of nine PCC/PGL tumors, SF and FFPE samples

  Dataset EGAD00001001854

• AML diagnosis targeted resequencing

  Raw data (fastq files) from targeted resequencing of AML patients at diagnosis

  Dataset EGAD00001002117

• AML relapse targeted resequencing

  Raw data (fastq files) from targeted resequencing of AML patients at relapse

  Dataset EGAD00001002118

• Spatial Transcriptomic BC ILC

  Fastq files from 4 Visium spatial transcriptomic ILC sections

  Dataset EGAD50000002494

• Human iPSC-derived brain cell RNA sequencing data DAC at UEF (DAC-hiPSC)

  RNA sequencing data from human iPSC-derived cell model systems

  Dac EGAC50000000949

• European Hereditary Tumour Group

  This DAC controls access to entries submitted to the European Hereditary Tumour Group datasets according to the EHTG policies.

  Dac EGAC50000000969

• Data upcycling, powered by EGA

  In 2012 a collaborative effort headed by the teams of Carlos Caldas in Cambridge, UK and Samuel Aparicio, Canada, produced a pivotal study aimed at defining the mutational landscape of breast cancer. They gathered a collection of over 2000 breast cancer samples (METABRIC) associated with long-term clinical follow-up. They delineated an array of inherited and somatically acquired genetic variants and associated them to gene expression. This led to the identification of putative cancer-driving events and improved stratification of breast cancer patients. The study elicited huge attention and was tackled as herculean effort by fellow researchers. Cristina Curtis and her colleagues deposited the data in the EGA archive (EGAS00000000083). What they probably could not foresee is that their data would be reused more than 100 times, becoming one of the most downloaded datasets at EGA. In 2015, Frederik S. Varn and colleagues accessed the above-mentioned data from the New Hampshire, USA, to correlate it to transcriptional programs of hematopoietic cells infiltrated in breast tumours and found that those can influence patients' prognosis. Their findings, published in Nature Communications, improved the understanding of the interplay between immune system and cancer. Again, in 2017 the dataset was downloaded by an Italian/Polish collaboration and used to corroborate their mechanistic study that demonstrate how a long non-coding RNA (lncRNA) is aberrantly localized into the chromatin, where it modulates oncogenic isoforms expression, thus contributing to breast cancer. To date, the METABRIC dataset has been reused to contribute to 147 publications. Its impact on breast cancer research is incalculable, and it even spread beyond that, with recent contributions to the understanding of pan-cancer mechanisms and features. Some of the publications are translating into improvements in diagnosis and treatment of different types of breast cancer. This is just an example of how data upcycling can amplify the potential of any dataset, well past the scope of its creation, the imagination of its owners and any geographical border. At EGA, we are proud to empower such fruitful worldwide cycles of knowledge, providing a platform that enables safe sharing of sensitive genetic data.

  Blog data-upcycling-powered-by-ega

• Glioma Genomics Committee

  Dac EGAC00001000153

• MSI-Exome-DAC Team Microsatellites Instability and Cancer, INSERM Hospital Saint-Antoine, Paris 12, France Carte d'identité des tumeurs, French league against cancer, Paris France

  Dac EGAC00001000665

• UCSF Sebaceous Carcinoma DAC for review of sequence data release from manuscript in Nature Communications, based in the UCSF Departments of Dermatology and Pathology

  Dac EGAC00001000850

• Data access committee (DAC) in the Graduate School of Medical Science and Engineering (GSMSE) at Korea Advanced Institute of Science and Technology (KAIST)

  Dac EGAC00001001643

• Brain Tumor UCSF DAC

  Dac EGAC00001001682

• DAC of The polarity and specificity of antiviral T lymphocyte responses determine susceptibility to SARS-CoV-2 infection in cancer patients and healthy individuals

  Dac EGAC00001002517

• Early on-treatment changes in circulating tumor DNA fraction and response to enzalutamide or abiraterone in metastatic castration-resistant prostate cancer - Data Access Committee

  Dac EGAC00001003128

• EGAD00000000012

  WTCCC1 project Multiple Sclerosis (MS) samples

  Dataset EGAD00000000012

• EGAD00000000048

  Sequencing data from oestrogen-receptor-alpha-positive metastatic lobular breast cancer sample

  Dataset EGAD00000000048

• EGAD00010000722

  Pilot experiment on functional genomics in osteoarthritis (coreex)

  Dataset EGAD00010000722

• EGAD00010000232

  WTCCC2 samples from Type 2 Diabetes Cohort

  Dataset EGAD00010000232

• EGAD00010000296

  1958BC control samples only (Hap550)

  Dataset EGAD00010000296

• EGAD00010000387

  Cambridge control samples using a 1.2M genotyping chip from Illumina

  Dataset EGAD00010000387