10936 results for "cancer rna-seq"

in 23.81 milliseconds.

• RNA-seq data from Non Small Cell Lung Cancer (NSCLC) samples

  RNA-seq data from Non Small Cell Lung Cancer (NSCLC) samples

  Study EGAS00001004032

• Cancer RNA-seq consisting of FASTQ single-end reads from colon cancer sample

  Cancer RNA-seq consisting of FASTQ single-end reads from 1 colon-cancer individual RNA-seq was performed on illumina This dataset contains reads from a single region.

  Dataset EGAD00001007949

• Genentech study of gallbladder cancer

  Genomic characterization of gallbladder cancer using Exome-Seq, RNA-Seq and low pass whole genome sequencing.

  Study EGAS00001003004

• Colorectal cancer functional annotation - RNAseq

  RNA-seq data from multiple colorectal cancer cell lines

  Study EGAS50000000208

• Research for biological features by gene expression analysis and biomarkers at diagnosis/therapeutics in lung cancer

  WGS, WES, ATAC-seq and methylation analysis with DNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum and blood samples of patients. RNA-seq analysis with RNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum and blood samples of patients.

  Study JGAS000610

• Research for biological features by gene expression analysis and biomarkers at diagnosis/therapeutics in lung cancer

  WGS, WES, ATAC-seq and methylation analysis with DNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum and blood samples of patients. RNA-seq analysis with RNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum and blood samples of patients.

  Study JGAS000609

• Research for biological features by gene expression analysis and biomarkers at diagnosis/therapeutics in lung cancer

  WGS, WES, ATAC-seq and methylation analysis with DNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum and blood samples of patients. RNA-seq analysis with RNA harvested from lung cancer organoids established from surgery, biopsy, pleural effusion, sputum and blood samples of patients.

  Study JGAS000557

• Total RNA-seq of CRPC and NEPC

  This dataset contains total RNA-seq of 10 patient samples: 5 castration resistant prostate cancer (CRPC) and 5 neuroendocrine prostate cancer (NEPC). Total RNA-seq was constructed using ribosomal RNA-depleted random hexamer-primed RNA library preparation kit and sequenced on Illumina at pair-end 150bp. Total RNA-seq allows for circular RNA and mRNA analyses. Each sample was sequenced on two separate lanes, therefore, two pairs of raw fastq files (4 files in total) are provided for each sample.

  Dataset EGAD50000001312

• RNA-seq of SMARCA2/4 knock-down prostate cancer cell lines

  RNA-seq of SMARCA2/4 knock-down prostate cancer cell lines (LNCaP and 22Rv1, 15 samples altogether). Dataset contains BAM files from RNA-seq performed using Illumina HiSeq 2500.

  Dataset EGAD00001005800

• Single cell RNA sequencing and Whole Genome Sequencing on different cells from the same sample for a triple negative patient derived xenograft and ovarian cancer cell lines.

  Measuring gene expression of genomically defined tumour clones at single cell resolution would associate functional consequences to somatic alterations, as a prelude to elucidating pathways driving cell population growth, resistance and relapse. In the absence of scalable methods to simultaneously assay DNA and RNA from the same single cell, independent sampling of cell populations for parallel measurement of single cell DNA and single cell RNA must be computationally mapped for genome-transcriptome association. Here we present clonealign, a robust statistical framework to assign gene expression states to cancer clones using single-cell RNA-seq and DNA-seq independently sampled from an heterogeneous cancer cell population. We apply clonealign to triple-negative breast cancer patient derived xenografts and high-grade serous ovarian cancer cell lines and discover clone-specific dysregulated biological pathways not visible using either DNA-Seq or RNA-Seq alone.

  Study EGAS00001003387