23091 results for "ega"

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• Familial CEBPA-mutated AML whole exome sequencing dataset

  Whole exome sequencing data for AML and matched normal samples

  Dataset EGAD00001000996

• Seminoma exome sequencing

  Exome sequencing data for 8 pairs of seminomas and matched normal

  Dataset EGAD00001001002

• LGG Epilepsy Cohort WGS

  LGG Epilepsy Cohort WGS

  Dataset EGAD00001001664

• Osteosarcoma exome sequencing dataset

  Whole exome sequencing data of primary, secondary and tertiary tumor from a patient.

  Dataset EGAD00001002145

• Global Anaplastic Thyroid Cancer Initiative

  Raw whole genome sequence data(fastq) for the GATCI project

  Dataset EGAD00001003236

• RNASeq files for Stewart-MATCH

  RNASeq files for paper titled "Preclinical Pediatric Molecular Analysis for Therapy Choice (MATCH)"

  Dataset EGAD00001015475

• Characterization of HCV-specific CD4 T cells during DAA-Therapy

  To be added...

  Dataset EGAD00001005432

• Melanoma multi site metastases

  These are caveman, pindel, battenberg and brass calls for index patients' metastatic melanoma genomes within this study.

  Dataset EGAD00001005483

• KRAS Mutations in Multiple Myeloma

  Fastq files for 80 Multiple Myeloma Patients and 12 cell-lines

  Dataset EGAD00001005743

• Proteome data

  Proteome data of neuroblastoma patients

  Dataset EGAD00001006737

• IMpower133 subtype assignments

  This dataset contains subtype assignments for 271 tumor samples profiled by RNA-seq.

  Dataset EGAD00001006926

• RPPA analysis + clinical data

  RPPA analysis from FAIRLANE Trial of Neoadjuvant Ipatasertib Plus Paclitaxel for Triple-Negative Breast Cancer.

  Dataset EGAD00001008507

• PTA_thyroid__RNA_

  Exploring the somatic mutations in single cells derived from the thyroid

  Study EGAS00001007946

• PTA__thyroid_

  Investigation into thyroid pathologies utilising single cell/nuclei genome sequencing.

  Study EGAS00001007833

• Whole exome sequencing of soft tissue sarcoma

  We characterized genomic alterations of soft tissue sarcoma.

  Study EGAS50000001673

• 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

• Data Access Committee for the DNA sequencing data included in the study "A generalizable machine learning framework for classifying DNA repair defects using ctDNA exomes”

  Dac EGAC00001003111

• African Partnership for Chronic Disease Research (APCDR) DAC

  Dac EGAC00001000237

• Data Access Committee of DKFZ-Epigenomics

  Dac EGAC00001000279

• DAC for the Study EGAS00001006374: Pathogenic variants damage cell composition and single cell transcription in cardiomyopathies. snRNAseq of 79 (61 CM patients + 18 controls).

  Dac EGAC00001002804

• EGAD00000000010

  WTCCC1 project Ankylosing Spondylitis (AS) samples

  Dataset EGAD00000000010

• EGAD00000000013

  WTCCC1 project Breast cancer (BC) samples

  Dataset EGAD00000000013

• EGAD00000000049

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

  Dataset EGAD00000000049

• EGAD00010000636

  WTCCC2 Visceral Leishmaniasis samples from Brazil using Illumina 670k

  Dataset EGAD00010000636

• EGAD00010000638

  WTCCC2 Visceral Leishmaniasis samples from Indial using Illumina 670k

  Dataset EGAD00010000638

• EGAD00010000640

  WTCCC2 Visceral Leishmaniasis samples from Sudanl using Illumina 670k

  Dataset EGAD00010000640

• EGAD00010000674

  ELSA genome-wide genotypes, excluding estimated related individuals. There are 3 files: .fam, .bim, .bed

  Dataset EGAD00010000674

• EGAD00010000676

  ELSA genome-wide genotypes, including estimated related individuals. There are 3 files: .fam, .bim, .bed

  Dataset EGAD00010000676

• EGAD00010000294

  1958BC control samples only (Hap300)

  Dataset EGAD00010000294

• EGAD00010000236

  WTCCC2 samples from Coronary Artery Disease Cohort

  Dataset EGAD00010000236

• EGAD00010000286

  All cases and controls (Hap550)

  Dataset EGAD00010000286

• EGAD00010000290

  NBS control samples only (Hap550)

  Dataset EGAD00010000290

• EGAD00010000298

  All cases and controls (Hap300)

  Dataset EGAD00010000298

• EGAD00010000450

  Genome Wide Genotype Data

  Dataset EGAD00010000450

• EGAD00010000486

  ccRCC case samples using expression array

  Dataset EGAD00010000486

• EGAD00010000496

  Genome-wide SNP genotyping of African rainforest hunter-gatherers and neighbouring agriculturalists

  Dataset EGAD00010000496

• "SNV detection from formalin fixed paraffin embedded (FFPE) samples"

  "SNV detection from formalin fixed paraffin embedded (FFPE) samples"

  Dataset EGAD00001000033

• "Usage of small amounts of DNA for Illumina sequencing"

  "Usage of small amounts of DNA for Illumina sequencing"

  Dataset EGAD00001000034

• Cell Line Sub Clone Rearrangement Screen

  Cell Line Sub Clone Rearrangement Screen

  Dataset EGAD00001000064

• Non Tumour Renal Cell Line Sequencing

  Non Tumour Renal Cell Line Sequencing

  Dataset EGAD00001000091

• Identifying Novel Fusion Genes in Myeloma

  Identifying Novel Fusion Genes in Myeloma

  Dataset EGAD00001000112

• AML targeted resequencing study

  AML targeted resequencing study

  Dataset EGAD00001000253

• Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments

  Dataset EGAD00001001602

• 450K_DKFZ_CLL_NB

  CLL and normal B cell samples using 450K

  Dataset EGAD00010000871

• ICGC_450k

  Medulloblastoma methylation profiling

  Dataset EGAD00010001323