23083 results for "ega"

in 31.20 milliseconds.

• LLNEXT Pilot MGS sequencing

  This dataset contains sequencing data from fecal microbiome from LLNEXT project

  Dataset EGAD00001011293

• WXS files for MATCH paper

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

  Dataset EGAD00001015484

• RRBS melanoma biopsies

  RRBS data for melanoma biopsies at baseline and after treatment

  Dataset EGAD00001009060

• MDS 5q- exome reads

  Cancer exome reads consisting of FASTQ paired end reads from bone marrow samples

  Dataset EGAD00001001058

• IRF5 HL RNASeq dataset

  bam files associated with the study EGAS00001001205

  Dataset EGAD00001001417

• Pipeline study - RNAseq dataset

  Fernandez-Cuesta et al., RNAseq data Pipline

  Dataset EGAD00001000746

• HipSci - Embryonic Stem Cells - Exome Sequencing - April 2016

  HipSci - Embryonic Stem Cells - Exome Sequencing - April 2016

  Dataset EGAD00001001999

• Landscape of AL mutations

  Exome Sequencing to Define the Landscape of Plasma Cells in Systemic Light chain Amyloidosis

  Dataset EGAD00001001861

• Illumina_WXS_CONT

  Whole-exome sequencing on Illumina HiSeq2000/2500 of normal colon control tissue

  Dataset EGAD00001002094

• WGS of Asian lung cancers

  VCF files of somatic variants from tumor-normal pairs of Asian lung cancer patients

  Dataset EGAD00001001240

• Reference epigenome OB56_N_PreA_WGBS data generated from KEP study

  A OB56_N_PreA_WGBS paired end data for Preadipocytes(fat)

  Dataset EGAD00001003479

• Microsatellite unstable colorectal cancers

  Mapped data for 10 Colon MSI cancer samples

  Dataset EGAD00001004500

• MDS Sequential Treatment Validation

  Validations of variants identified by exome sequencing in sequential samples derived after treatment cycle with AZA.

  Dataset EGAD00001000949

• Solid_WXS_BL

  Whole-exome sequencing on AB 5500xl Genetic Analyzer of Blood EDTA

  Dataset EGAD00001002104

• Disorders of growth and insulin action

  Illumina paired-end sequencing of whole- exome pulldown DNA from Severe Insulin Resistant patients.

  Dataset EGAD00001000381

• Target sequencing of myxofibrosarcoma

  Target sequencing (fastq files) of 99 pairs (198 samples) of myxofibrosarcoma

  Dataset EGAD00001004101

• ICR MOPOPGEN UK exome control series

  BAM files of individuals from the 1958BC aligned to hg17

  Dataset EGAD00001004396

• DREAM SMC-HET - WGS mapped reads

  ICGC-TCGA DREAM Somatic Mutation Calling - Tumour Heterogeneity Challenge - WGS mapped reads

  Dataset EGAD00001003971

• OT2_Illumina_WGS_BL

  Whole-genome sequencing on Illumina HiSeq2000/2500 of Blood EDTA (OT2_cohort)

  Dataset EGAD00001003370

• AI_NF1glioma_WES

  The dataset includes 59 tumor samples from 56 NF1-glioma patients profiled by Whole Exome Sequencing.

  Dataset EGAD00001004375

• Tracing the origins of relapse in AML to stem cells

  Aligned whole genome sequence from AML relapse project

  Dataset EGAD00001003234

• snv calls for subclonal reconstruction

  single nucleotide variant calls from somatic sniper, vcf format. input for subclonal reconstruction

  Dataset EGAD00001003753

• RNA sequencing of myxofibrosarcoma

  RNA sequencing (fastq files) of 29 samples of myxofibrosarcoma

  Dataset EGAD00001004102

• Exome sequencing Parkinson's disease patients

  In this project we will sequence the exomes of 250 patients with Parkinson's disease

  Dataset EGAD00001000405

• Targeted gene screen of drug resistant organoids

  Sequencing of drug resistant organoids

  Dataset EGAD00001003252

• LGG Epilepsy Cohort WXS

  LGG Epilepsy Cohort WXS

  Dataset EGAD00001001665

• Multisample2 Amplicon

  Amplicon data of tumor samples generated for validation of WES findings and further sub clonal mapping

  Dataset EGAD00001004020

• Whole exome sequencing of myxofibrosarcoma

  Whole exome sequencing (fastq files) of 41 pairs (82 samples) of myxofibrosarcoma

  Dataset EGAD00001004095

• DATA FILES FOR SJLGG

  DATA FILES FOR SJLGG

  Dataset EGAD00001000695

• 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