14983 results for "cancer studies using rna-seq"

in 11.58 milliseconds.

• RNA-seq cohort of normal weight women

  RNA-seq data of non-tumorous breast tissue. There are 32 samples in this cohort.

  Dataset EGAD00001007073

• subset of 11 samples RRMM (RNA-Seq and WGS) from study EGAS00001005973 used also in study EGAS00001006538

  subset of 11 samples (RNA-Seq and WGS) from study EGAS00001005973, which was published earlier and are linked here to study EGAS00001006538

  Dataset EGAD00001009679

• BLUEPRINT: RNA-seq for monocytes and neutrophils

  RNA-seq for monocytes and neutrophils

  Dataset EGAD00001000675

• RNA-seq data from a variety of pediatric brain tumors

  RNA-seq (n=52) data from a variety of pediatric brain tumors including ependymoma (PFA, PFB, Ste, spinal), medulloblastoma (G3, G4, SHH), high grade glioma (H3K27 and H3-WT), pilocytic astrocytoma, and more. Raw data provided as FASTQ. Data generated on Illumina HiSeq2500.

  Dataset EGAD00001007915

• BLUEPRINT release August 2015, RNA-Seq for monocyte, on genome GRCh38

  RNA-Seq data for 4 monocyte sample(s). 4 run(s), 4 experiment(s), 4 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001572

• Total RNA-seq of intestinal gluten tetramer+ and tetramer- CD4+ T-cells from celiac disease patients

  Total RNA-seq of intestinal gluten tetramer+ and tetramer- CD4+ T-cells from celiac disease patients, as well as intestinal CD4+ T-cells from healthy control individuals (paired-end fastq files).

  Dataset EGAD00001004146

• Combined genetic and transcriptome analysis of patients with Systemic Lupus Erythematosus (SLE)

  A comprehensive profiling of the genomic architecture of Systemic Lupus Erythematosus (SLE) by combining genetic and transscriptomic analysis by RNA-seq.

  Study EGAS00001003662

• Patient-derived conditionally reprogrammed cells (CRCs) were established and characterized to assess their biological properties and to apply these to test the efficacies of drugs.

  RNA seq data was used for the characterization and profiling of the created patient-derived cells and in vivo tissue.

  Study EGAS00001001702

• RNA-seq dataset of Neoantigen Peptides derived from V(D)J-recombined Immunoglobulins Drive Outgrowth of Cytolytic CD8+ T-cells

  RNA-seq dataset of Neoantigen Peptides derived from V(D)J-recombined Immunoglobulins Drive Outgrowth of Cytolytic CD8+ T-cells

  Dataset EGAD00001015647

• DAC_RNA-seq of murine osteosarcoma cell line genetically modified for CYR61

  Data access committee for RNA-seq of murine osteosarcoma cell line genetically modified for CYR61

  Dac EGAC50000000352