22959 results for "ega"

in 20.40 milliseconds.

• HipSci - Congenital Hyperinsulinia - Exome Sequencing - July 2017

  HipSci - Congenital Hyperinsulinia - Exome Sequencing - July 2017

  Dataset EGAD00001003520

• 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

• Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment

  Study EGAS00001003886

• Data Access Committee for the Nichols Group at LHSC

  Dac EGAC00001002164

• EGAD00000000011

  WTCCC1 project Autoimmune Thyroid Disease (ATD) samples

  Dataset EGAD00000000011

• EGAD00000000025

  WTCCC2 project Ulcerative Colitis (UC) samples

  Dataset EGAD00000000025

• EGAD00010000596

  PCGP Ph-likeALL GEA

  Dataset EGAD00010000596

• EGAD00010000598

  PCGP Ph-likeALL SNP6

  Dataset EGAD00010000598

• EGAD00010000610

  Samples from the Greek island of Crete, MANOLIS cohort

  Dataset EGAD00010000610

• EGAD00010000264

  WTCCC2 project samples from Ischaemic Stroke Cohort

  Dataset EGAD00010000264

• Pancreatic adenocarcinoma QCMG 20110901

  Pancreatic adenocarcinoma QCMG 20110901

  Dataset EGAD00001000049

• Genetic variation in Kuusamo

  Genetic variation in Kuusamo

  Dataset EGAD00001000055

• DATA FILES FOR NBL

  Neuroblastoma whole genome sequencing

  Dataset EGAD00001000135

• Matched Pair Cancer Cell line Whole Genomes

  Matched Pair Cancer Cell line Whole Genomes

  Dataset EGAD00001000145

• UK10K_NEURO_FSZNK REL-2012-01-13

  UK10K_NEURO_FSZNK REL-2012-01-13

  Dataset EGAD00001000183

• BRAF and MEK resistant cell line clones

  BRAF and MEK resistant cell line clones

  Dataset EGAD00001000205

• UK10K_NEURO_MUIR REL-2012-07-05

  EGAD00001000236_UK10K_NEURO_MUIR_REL_2012_07_05

  Dataset EGAD00001000236

• OLD DATA FILES FOR SJMB - Superseded by EGAD00001001864

  OLD DATA FILES FOR SJMB - Superseded by EGAD00001001864

  Dataset EGAD00001000269

• ICGC prostate cancer miRNA sequencing

  ICGC prostate cancer miRNA sequencing

  Dataset EGAD00001000304

• ICGC prostate cancer RNA sequencing

  ICGC prostate cancer RNA sequencing

  Dataset EGAD00001000305

• UK10K_NEURO_ASD_TAMPERE REL-2012-11-27

  UK10K_NEURO_ASD_TAMPERE REL-2012-11-27

  Dataset EGAD00001000314

• UK10K_NEURO_FSZNK REL-2012-11-27

  UK10K_NEURO_FSZNK REL-2012-11-27

  Dataset EGAD00001000332

• ICGC prostate cancer MBD sequencing (DNA methylation)

  Dataset EGAD00001000632

• Whole genome sequencing dataset from: Biased allelic expression in human primary fibroblast single cells.

  Dataset EGAD00001001083