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• DAC for panc_met data set

  Dac EGAC00001001480

• Center for Medical Genetics Ghent

  Dac EGAC00001001507

• DAC for mUC sequencing data

  Dac EGAC00001001710

• Data Access Commitee for ECA

  Dac EGAC00001001856

• DAC for Hypermutated Gliosarcoma project

  Dac EGAC00001001867

• Data Access Committee for EGAS00001005426

  Dac EGAC00001002194

• Data Access Committee for cfMeDIP

  Dac EGAC00001002250

• Center for Medical Genetics Ghent

  Dac EGAC00001002384

• DAC for intraphepatic cholangiocarcinoma

  Dac EGAC00001002521

• DAC for cfMethyl-Seq data

  Dac EGAC00001002534

• Data access committee for FL

  Dac EGAC00001002552

• Center for Medical Genetics Ghent

  Dac EGAC00001002909

• Center for Medical Genetics Ghent

  Dac EGAC00001003264

• Data Access Committee for EGAS00001007298

  Dac EGAC00001003422

• Data Access Committee for EGAS00001007299

  Dac EGAC00001003268

• DAC for noninvasive lung cancer subtyping

  Dac EGAC00001003474

• DAC for Molecular Oncology lab

  Dac EGAC50000000268

• DAC for EGAS00001007531

  Dac EGAC00001003437

• UCL Centre for Longitudinal Studies

  Dac EGAC00001003495

• DAC for MethylScan assay

  Dac EGAC00001003580

• EGAD00010000694

  HCC array for cnv

  Dataset EGAD00010000694

• Whole-exome sequencing of glioblastomas with long-term relapse interval

  Treatment options for GBM patients have not changed over the last 15 years, and the success of targeted therapy or immunotherapy has been disappointinglimited. Thus, the standard of care for GBM patients remains surgical resection followed by concomitant DNA alkylating agent therapy with temozolomide (TMZ) and radiation therapy (RT). However, the time to relapse is generally short (6.9 months on average) owing to the tumor’s ability to infiltrate normal parenchyma and its intrinsic resistance to radio-chemotherapy. Due to the lack of alternative treatment options, elucidating underlying resistance mechanism has come into major focus of research, with the hope for opening new ways of therapeutic intervention overcoming resistance. To explore therapy resistance driving events, we performed a study using a single-centric collective of matched pairs of therapy-naïve and post-therapeuticc tissue from GBM patients, selected based on a maximally long interval between resections of the initial and the recurrent tumors. This rare collective was analyzed by whole exome sequencing (WES), mRNA expression and miRNA expression profiling.

  Study EGAS00001006022

• MicroRNA Biomarkers for Prediction of Preeclampsia

  Maternal serum was collected between 17-28 weeks gestation. Samples were obtained from the high-risk Placental Study at the University of California, San Diego (n=48) and from the average-risk Proteomic Assessment of Preterm Risk (PAPR) Study at Sera Prognostics (n=164). RNA was extracted from 500 microliter of maternal serum using the miRNeasy Micro kit (Qiagen). NEBNext Small RNAseq Library Preparation Kit was used for library construction.

  Study phs002016

• We evaluate the PGD/PGS including 129 couples with NGS test and 266 couples with SNP-array test for the detection of embryonic chromosomal abnormalities.

  A total of 395 couples were subjected to IVF-PGD treatment, including 129 couples with NGS test and 266 couples with SNP-array test for the detection of embryonic chromosomal abnormalities. The NGS test was performed using low coverage whole genome sequencing with HiSeq 2000 platform. And the SNP array test was using Affymetrix Gene Chip Mapping Nsp I 262K.

  Study EGAS00001000981

• WGS data for MMML for Study EGAS00001002199

  Whole genome sequencing data for MMML (24 tumor/control pairs), fastq-files

  Dataset EGAD00001003276

• WGS data for MMML for Study EGAS00001002198

  Whole genome sequencing data for MMML (28 tumor/control pairs)

  Dataset EGAD00001003207

• WGS data for MMML for Study EGAS00001002198

  Whole genome sequencing data for MMML (12 tumor/control pairs)

  Dataset EGAD00001003208

• WGS data for MMML for Study EGAS00001002198

  Whole genome sequencing data for MMML (cell_line)

  Dataset EGAD00001003210

• Paired RNA-Seq of fCAB treated and bisulfite treated VDH01, partly depleted for NSUN3

  Paired RNA-seq of bisulfite treated VDH01 samples control or depleted for NSUN3 (4 replicates each). The samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq. Paired RNA-seq of fCAB treated vdh01 samples control or depleted for NSUN3(4 replicates each). the samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq. Paired RNA-seq of fCAB treated VDH01 samples (3). the samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq. Paired RNA-seq of bisulfite treated VDH01 samples (3). the samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq.

  Dataset EGAD00001008742

• PPGL WES dataset

  Dataset includes fastq files for WES experiments for tumor samples of PPGL patients. Paired end reads fastq files are available for 87 different samples

  Dataset EGAD00001008579

• PCA Atlas Chromium scRNA-seq and demultiplexing support (FASTQs, BAMs, capture-level VCFs and mapping tables)

  This dataset contains Chromium single-cell RNA-seq data and demultiplexing support for the PCA Atlas study EGAS00001008332. Included data objects: - 16 Chromium scRNA-seq FASTQ runs (EGAR accessions) for captures PCa1–PCa16. - 16 aligned BAM analyses (one Cell Ranger possorted_genome_bam.bam per capture). - 16 capture-level genotype VCF analyses derived from the Axiom UK Biobank array, used as demultiplexing panels. - demux_map.csv (EGAZ00001945520): donor–capture–sample mapping for genotype-based demultiplexing. - chromium.csv (EGAZ00001945537): run-level mapping linking captures, EGA samples, runs (EGAR), experiments (EGAX) and BAM analyses. Together these objects provide a complete view of the Chromium scRNA-seq data and the genotype-based demultiplexing support needed to reproduce donor assignment and downstream analyses.See also https://zenodo.org/records/17372603

  Dataset EGAD00001015795

• DAC for the study EGAS00001001738

  Dac EGAC00001000450

• DAC for sputum fungal microbiome data

  Dac EGAC00001003006

• DAC for Oncogenomics QIMR Berghofer

  Dac EGAC00001001088

• Data Access Committee for WES RCC

  Dac EGAC00001003161

• DAC for study Vel Exome Sequencing

  Dac EGAC00001000012

• DAC for Sardinia FACS pilot project

  Dac EGAC00001000132

• DAC for study POT1 splice

  Dac EGAC00001000184

• DAC for SNP phenotyping Kiel

  Dac EGAC00001000316

• DAC for Mesothelioma Genomics Study

  Dac EGAC00001000615

• DAC for Human Stem Sell Sequencing

  Dac EGAC00001000642

• DAC for studying early onset IBD

  Dac EGAC00001000840

• DAC for Familial Breast Cancer study EGAS00001003305

  Dac EGAC00001001087

• DAC for genentech GBC study

  Dac EGAC00001001155

• Department for BioMedical Research, University of Bern

  Dac EGAC00001001457

• DAC for Gastric Adenocarcinoma Heterogeneity study

  Dac EGAC00001001649

• Data Access Committee for IMBA

  Dac EGAC00001001690

• Data Access Committee for data from EGAS00001005174

  Dac EGAC00001002059

• Data Access Committee for data from EGAS00001005395

  Dac EGAC00001002183

• Data Access Committee for PPIL4 Paper

  Dac EGAC00001002301