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• Imputed_genetics

  Imputed genetic data for INTERVAL proteomics cohort

  Dataset EGAD00010001544

• Amplicon sequencing of adenoma to carcinoma paired samples from colon

  Colorectal cancer panel sequencing of 100 adenoma and carcinoma samples . Cancer Hot Spot panel sequencing of 7 samples from one poly.

  Dataset EGAD00001004848

• 18 ctDNA and matched tumor sequencing from SCLC patients

  BAM files corresponding to sequencing of 18 circulating tumor DNA and matched tumor samples from SCLC patients. Each ctDNA sample was sequenced twice.

  Dataset EGAD00001005460

• 28 ctDNA and matched tumor sequencing from SCC patients

  BAM files corresponding to sequencing of 28 circulating tumor DNA and matched tumor samples from SCC patients. Each ctDNA sample was sequenced twice.

  Dataset EGAD00001005462

• Whole Genome Sequencing of Waldenstrom's Macroglobulinemia

  Whole genome sequencing was conducted on 10 tumor/germline paired samples along with 20 additional unpaired tumor samples from patients with Waldesntrom's macroglobulinemia. Tumor lymphoplasmacytic lymphoma cells were obtained from CD19+ selected bone marrow mononuclear cells. Germline tissue was obtained from CD19 depleted peripheral blood mononuclear cells. High molecular weight DNA was then submitted for whole genome sequencing with Complete Genomics and aligned to HG19/NCBI human reference build 37.

  Study phs000740

• EASI-Genomics GM21886 Cell Line High Molecular Weight DNA Sequencing

  An interlaboratory study was performed with GM21886 cells to evaluate methods for high molecular weight (HMW) genomic DNA extraction and compare sample and sequencing QC metrics, and pipelines for structural variant (SV) calling. Four laboratories prepared HMW genomic DNA using four alternative extraction methods FireMonkey (Revolugen), Genomic Tip (QIAGEN), Nanobind (Circulomics), and Puregene (QIAGEN), followed by Short Read Elimination (Circulomics) and long-read sequencing with MinION and PromethION flowcells (Oxford Nanopore Technologies).

  Study phs003958

• An atlas of transcribed enhancers across helper T cell diversity for decoding human diseases

  At 5' ends of RNAs, there is a unique "cap signature" derived from a 7-methylguanosine cap. By leveraging this signature, we developed ReapTEC (read-level pre-filtering and transcribed enhancer call), a method for simultaneously profiling gene expression and enhancer activities using 5'-end single-cell RNA sequencing (5' scRNA-seq). We applied ReapTEC and single-nucleus ATAC-seq to a total of ~1 million single human CD4+ T cells.

  Study JGAS000689

• Born in Bradford (BiB)

  Dac EGAC00001003494

• RNA sequencing of skin tissue and peripheral blood mononuclear cells from patients with atopic dermatitis and healthy controls.

  We performed RNA-sequencing of skin tissue and peripheral blood mononuclear cells obtained from patients with atopic dermatitis along with healthy controls in Japanese population.

  Study JGAS000628

• Different malignant tumor samples including lung cancer, colon cancer and breast cancer.

  Genomic DNA was purified from tumor cells and normal cells in cancer patients; We sequenced those genomic DNAs using 10X Genomics sequencing technologies, and analyzed genomic structural variations.

  Study JGAS000360

• TallFlow - multi-omics

  Single-cell Immune profiling 10X genomics protocol. This data includes 5' mRNA sequencing, TCR sequencing, and 204 AB sequencing. In total 15 pediatric T-ALL samples and 4 pediatric Thymus samples.

  Study EGAS50000000358

• bulk mRNA-seq of iGRAN (CD14neg) cells from CMML patients and healthy donors

  bulk mRNA-seq of iGRAN (CD14neg) cells from CMML patients and healthy donors [Publication title] CXCL8 secreted by immature granulocytes inhibits wildtype hematopoiesis in chronic myelomonocytic leukemia

  Study EGAS50000000555

• Growth Hormone (GH) -secreting Pituitary Adenoma

  Data from 12 fresh-frozen somatotropinomas and their corresponding blood samples. Details are given in Valimaki et al. Whole-genome sequencing of Growth Hormone (GH) -secreting Pituitary Adenoma. Provisionally accepted, 2015.

  Study EGAS00001001293

• Single cell characterization of arrested B-lymphoid differentiation and leukemic cell states in ETV6-RUNX1-positive pediatric leukemia

  Leukemic bone marrow in primary ETV6-RUNX1 positive acute lymphoblastic leukemia samples (Six diagnostic and two 15 days after treatment) using Chromium 3' single cell RNA-seq. Samples sequenced on 1-3 lanes and raw fastq files provided for each sample.

  Dataset EGAD00001006074

• Second primary vs. primary bowel malignancies

  Data about copy number aberrations was obtained from primary CRC (n=90). DNA was collected from second primary CRC (in HL survivors, n = 39), and primary SBA (n=14). For second primary SBA (in HL and TC survivors), DNA was isolated for molecular analyses (n=7). Copy number aberrations were evaluated after low-coverage whole genome sequencing.

  Dataset EGAD00001008476

• WES on tumor DNA and germline DNA in pediatric cancer

  This dataset contains whole exome sequencing (WES) data (various enrichment methods) from tumor DNA samples of various pediatric cancer entities. Files are provided in fastq format. Samples were sequenced on a Novaseq6000 or Hiseq2500 (Illumina).

  Dataset EGAD00001007816

• S:CORT Stratification in COloRecTal cancer

  Colorectal cancer samples will be submitted for Illumina sequencing using a custom capture of 116 genes implicated in colorectal tumourigenesis. Driver mutations will be detected and ultimately correlated with phenotypic data.

  Dataset EGAD00001009760

• Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations WGS

  Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations WGS

  Dataset EGAD00001010042

• Geographic variation of mutagenic exposures in kidney cancer genomes – sequence data (Mutographs)

  Geographic variation of mutagenic exposures in kidney cancer genomes – sequence data (Mutographs)

  Dataset EGAD00001012102

• Methylation sequencing dataset for "Molecular counting enables accurate and precise quantification of methylated ctDNA"

  Methylation sequencing dataset for "Molecular counting enables accurate and precise quantification of methylated ctDNA." This dataset was created by running samples through Northstar Response, where bisulfite converted samples are amplified in a multiplex PCR targeting more than 500 genomic regions. Samples in this dataset include contrived samples made from 84 different tumors DNA, each mixed with their matched buffy coat DNA at varying ratios, as well as cfDNA and buffy coat DNA samples collected from 67 cancer patients undergoing treatment. All samples were sequenced on Illumina NextSeq 2000 with single end 100 cycle sequencing; files are in fastq.gz format.

  Dataset EGAD50000001015

• MPM cell lines

  RNA-sequencing data for 12 MPM cell lines treated with 0.1% DMSO or 1 µM palbociclib for 9-10 days. Experiment was performed in duplicates for sensitive cells (MPM08, MPM21, MPM38, MPM57, MPM59, Meso11, Meso13, Meso34 and Meso56) and only once for resistant cells (MPM31, MPM34 and MPM36) except for Meso11 which was done in triplicates. For Meso11, Meso13, Meso34 and Meso56, a drug washout of 48 hours was also performed. 4 MPM cell lines (MPM31, MPM34, MPM59 and MPM66) were also analyzed in untreated condition. 2 FASTQ files for each sample (n=56) (paired)

  Dataset EGAD00001008741

• GWG in T1DM - DAC

  Dac EGAC00001001580

• TCRseq in cancers DAC

  Dac EGAC00001002235

• CHIP and LOY in AD

  Dac EGAC00001003606

• ID1 in glioblastoma

  Study EGAS00001003711