17425 results for "the best way to get coins in fc 26 Navštivte Buyfc26coins.com Společnost známá transparentními transakcemi..CQ2q"

in 37.18 milliseconds.

• Hi-C and promoter capture Hi-C data

  Hi-C and promoter capture Hi-C data for HT29 and LoVo. 2 replicates per cell line for the Hi-C. 3 replicates per cell line for the CHi-C.

  Dataset EGAD00001003257

• V4 Colorectal panel test (2018-03-07)

  Targeted gene screen of cell line tumours for testing the new V4 Colorectal gene panel. . This dataset contains all the data available for this study on 2018-03-07.

  Dataset EGAD00001004000

• SNV vcf files for CPCG Subclonal Heterogeneity

  SNV calls generated using the MuTect-Battenberg-PhyloWGS from the CPC-GENE Subclonal Heterogeneity study

  Dataset EGAD00001004400

• WGS of a pair of monozygotic twins with Castleman disease and an unaffected sibling.

  The affected twins have their lymph nodes and buccal swabs sequenced with WGS. The unaffected sibling have his/her buccal swab sequenced with WGS as control too.

  Dataset EGAD00001011118

• Chromatin 3D interactions mediate genetic effects on gene expression (genotypes)

  This dataset contains the imputed genotypes for the gencord samples. Genotyping was done using Illumina OMNI2.5M. Imputation was done using SHAPEIT2/IMPUTE2 with 1000 genomes project phase 3 reference panel.

  Dataset EGAD00001004790

• Wilms Tumour organoid sequencing WGS (2019-09-05)

  This study investigates the genomic and transcriptomic characteristics of Wilm's tumour organoids . This dataset contains all the data available for this study on 2019-09-05.

  Dataset EGAD00001005312

• Raw sequencing data - Intra-tumor heterogeneity and clonal evolution patterns towards platinum-resistant high-grade serous ovarian cancer

  This dataset includes 69 sampels of whole-exome sequencing data of high-grade serous ovarian carcinoma (HGSOC). We included patients with advanced (International Federation of Gynecology and bstetrics [FIGO] stage IIIeIV) HGSOC for which biopsies were obtained during debulking surgery, the first at initial diagnosis and the second at disease relapse. Where possible, matched normal DNA from each participating patient was obtained from a whole-blood sample. Written informed consent was obtained from all patients and approved by the local ethics committee.

  Dataset EGAD00001001381

• Illumina GSA-MD v3 genotyping arrays for 183 samples

  Genotyping arrays for 183 samples from patients with a neuroendocrine tumor of the small intestine. All samples have been hybridized on Illumina GSA-MD v3 arrays with standard automated protocols. Reading of the chips was performed on Illumina iScan+ scanners and this file is the result of primary analysis done using Illumina GenomeStudio software. It contains data for 147 tumors, 2 adenomas, 1 lymph node, 19 mesenteric nodules, 6 liver metastasis and 8 normal ileum samples.

  Dataset EGAD50000000905

• Transcriptome sequencing of neuroendocrine tumors of the small intestine

  This dataset contains 206 RNASeq samples from a cohort of patients with neuroendocrine tumors of the small intestine. Libraries were prepared using a Illumina TruSeq Stranded mRNA kit following the manufacturer’s recommendations. Sequencing was performed on Illumina Novaseq6000 machine with a 2x75bp paired-end fashion. This dataset contains data for 169 tumors, 22 mesenteric nodules, 8 liver metastases, 2 adenomas, 1 lymph node and 4 normal ileum samples.

  Dataset EGAD50000000906

• Transrenal DNA Analysis

  The current sequencing dataset consists of 91 whole genome sequencing data files (Fastq files) of human cell-free DNA (cfDNA) obtained from plasma and urine samples. Specifically, we extracted 20 ucfDNA and 17 plasma DNA samples from healthy pregnant women, 11 ucfDNA samples from pregnant women with preeclampsia, 19 ucfDNA samples from healthy controls, and 24 ucfDNA samples from patients with proteinuria. These extracted cfDNA samples were then constructed into DNA libraries using the TruSeq Nano DNA Library Prep Kit (Illumina) and subsequently sequenced on the Nextseq2000 platform (Illumina).

  Dataset EGAD50000001127

• WGS data of pediatric T-ALL acute lymphoblastic leukemia (set3)

  The dataset includes FASTQ and CRAM files from diagnostic and matched remission (control) samples of two T-ALL patient (ALLK-126, ALLT-503). ALLT-503 sample has two diagnostic samples one extracted from the BM (ALLT-503D) and from the lymph node (ALLT-503lympD). Sequencing library was made using PCR free-based WGS library preparation (PCR-), using Novogene NGS DNA Library Prep Set (Cat No. PT004). Both diagnostic/relapse (90x) and remission (30x) samples were sequenced using Illumina NovaseqX Plus.

  Dataset EGAD50000002015

• Whole-exome sequencing and RNA-seq of paired normal-tumour samples from MMR-proficient early-onset colorectal cancer patients

  This dataset contains fastq files obtained from paired samples of normal colonic mucosa and tumour tissue, collected from 19 patients diagnosed with MMR-proficient colorectal cancer at an age of 50 years or younger. It includes both whole-exome sequencing and RNA-seq data, generated on the Illumina HiSeq 3000 platform. Additionally, the dataset includes phenotypic information from the patients.

  Dataset EGAD50000001844

• Molecular profiling of acinar cell carcinoma of the salivary glands

  Samples of acinar cell carcinoma (AciCC) of the salivary glands and paired normal salivary gland tissue were analyzed by whole transcriptome RNA-seq (n=10), whole genome sequencing (n=6), whole genome bisulfite sequencing (n=3) and ChIP-seq (H3K27ac, H3K4me3, H3K27me3, NR4A3, CTCF).

  Study EGAS00001002795

• Bulk RNA-sequencing of rhabdomyosarcoma tumour tissue (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the bulk RNA sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015718

• Whole-genome sequencing of rhabdomyosarcoma tumouroids (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the whole-genome sequencing of RMS tumoroids data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015707

• USARC 10X Genomics Single Cell DNA Sequencing Data

  We investigated the impact of ploidy heterogeneity on copy number inference at a single cell level using fluorescence-activated cell sorted (FACS) nuclei from an undifferentiated soft tissue sarcoma. FACS revealed the presence of three aberrant subpopulations, including a haploid, a near diploid and a whole genome doubled population. Once sorted, single cell nuclei underwent whole genome sequencing using the chromium CNV single cell DNA library kit (10X Genomics). We sequenced single normal nuclei (2n) and single aberrant / tumour nuclei (1n, 2n and 2n+).

  Dataset EGAD00001008668

• Single-cell RNA-sequencing of rhabdomyosarcoma tumouroids (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the single-cell RNA sequencing of RMS tumouroids data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015708

• Single-Cell RNA Sequencing of Terminal Ileal Biopsies Identifies Signatures of Crohn’s Disease Pathogenesis

  Biopsies from the terminal ileum of healthy individuals and terminal ileum of Crohns disease patients are collected and processed single cells and processed for single-cell RNA-sequencing using 10X Genomics 3' v3 and v3.1 and Illumina sequencing. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Dataset EGAD00001015692

• Whole Genome-sequencing of rhabdomyosarcoma tumour tissue (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the whole-genome sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015709

• Bulk RNA-sequencing of rhabdomyosarcoma tumour tissue (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the bulk RNA sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015714

• Whole Genome-sequencing of rhabdomyosarcoma tumour tissue (2025-09-30)

  This study investigates high-risk rhabdomyosarcoma (RMS) using multiple single-cell and spatial genomic technologies. We generated and analysed single-cell and single-nucleus RNA-sequencing, chromatin accessibility, and spatial transcriptomics data from primary tumours and validation samples. These datasets characterise cellular diversity within rhabdomyosarcoma and identify cell states associated with aggressive disease. The data support research into tumour biology, risk stratification, and therapeutic target discovery. This repository houses the whole-genome sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.

  Dataset EGAD00001015716

• Hip OA Functional Genomics RNAseq (2017-06-09)

  From 9 patients undergoing hip joint replacement surgery for osteoarthritis, we collected 3 cartilage samples each: a low-grade sample (no obvious evidence of damage or fibrillation); a high-grade sample (damaged and fibrillated cartilage); an osteophytic sample (overlaid bony protrusions mainly around the margins of the articular surface). Multiplexed libraries were sequenced on Illumina HiSeq 2000 (75bp paired-end read length) and a cram file was produced for each sample. This dataset contains all the data available for this study on 2017-06-09.

  Dataset EGAD00001003354

• WTCCC case-control study for Multiple Sclerosis

  WTCCC genome-wide case-control association study for Multiple Sclerosis (MS) using the 1958 British Birth Cohort collection as controls.

  Study EGAS00000000022

• WTCCC case-control study for Breast cancer

  WTCCC genome-wide case-control association study for Breast cancer (BC) using the 1958 British Birth Cohort collection as controls.

  Study EGAS00000000024

• WTCCC case-control study for Ankylosing Spondylitis

  WTCCC genome-wide case-control association study for Ankylosing Spondylitis (AS) using the 1958 British Birth Cohort collection as controls.

  Study EGAS00000000018

• Multiple Myeloma GWAS Meta-analysis

  Meta-analysis of Multiple Myeloma genome-wide association study datasets. Included are meta-analyses with and without the UK Biobank dataset.

  Study EGAS50000000292

• Dataset of CageKid Blood and Tumor DNA samples

  The data contains genome sequencing of clear cell renal cell carcinomas and normal kidney tissues. The samples were collected from patients from different European countries.

  Dataset EGAD00001002892

• WGS of Biobank iPSC lines

  WGS data from healthy reference iPSC lines. The median coverage is 41-50x. >85% have a coverage of >30x. 97% of the variants are known.

  Dataset EGAD00001008769

• Dataset for transcriptome sequencing of forebrain organoids from Lissencephaly patients

  This dataset contains transcriptome sequencing for 16 samples of forebrain organoids from Lissencephaly patients. The sequencing was performed on Illumina NextSeq 6000 . The sequencing was always paired.

  Dataset EGAD00001015688

• Human tumor scATAC-seq

  We profiled 4 high-grade gliomas patient brain tumor samples by single-cell ATAC-seq using the 10X Chromium 3' technology. The raw fastq and index files are provided.

  Dataset EGAD00001008347

• H3Africa H3AChipDesign AWI-Gen

  60 samples from Burkina Faso and Ghana generated for the H3Africa Chip Design Study. The dataset includes BAM, FASTQ and decompressed gVCF files.

  Dataset EGAD00001004448

• Pilot Fetal Cell Atlas_RNAseq (2018-08-20)

  As part of the Human Cell Atlas we will study fetal tissue. . This dataset contains all the data available for this study on 2018-08-20.

  Dataset EGAD00001004305

• IMpower133 processed RNA-seq data for genes utilized for cluster assignments

  This dataset contains log2(TPM + 1) for 271 tumor samples profiled by RNA-seq for the subset of genes used for validation of the NMF cluster assignments.

  Dataset EGAD00001006928

• Whole genome sequencing OMElib

  The mutational landscape of haematopoietic cells will be characterized by WGS following amplification of DNA and preparation of libraries by PTA(primary template-directed amplification). Samples have been sourced from the Cambridge Biobank.

  Dataset EGAD00001015251

• RNA Seq OMELib

  The transcriptional landscape of haematopoietic cells will be characterized by RNA Seq following amplification of RNA/cDNA and preparation of libraries by PTA(primary template-directed amplification). Samples have been sourced from the Cambridge Biobank.

  Dataset EGAD00001015252

• WGS of cell-free DNA derived from plasma of patients with pediatric sarcoma and healthy controls, and lcWGS/RRBS of matched tumor tissue

  This dataset contains: i) 241 deep (median 12x) whole-genome sequencing profiles of 95 patients with Ewing sarcoma, 31 patients with other pediatric sarcomas, and 22 additional profiles from healthy controls. Sequencing was performed on a NovaSeq 6000 instrument using the NovaSeq S4 2x100 bp configuration. In addition, pilot experiments for 18 cfDNA samples were performed using Illumina HiSeq 2000/2500 machines (2x75 bp configuration). Data is provided as .fastq.gz files (2 files, .R1 and .R2, per sample). i) Low coverage whole-genome-sequencing on 43 tumor biopsy samples from patients with Ewing sarcoma with matched cfDNA samples. The samples were sequenced using a NovaSeq 6000 instrument with the NovaSeq S4 1x100 bp configuration. Data are provided as unmapped (raw) .bam files. iii) Reduced-representation bisulfite sequencing data for 38 tumor biopsy samples from patients with Ewing sarcoma with matched cfDNA samples, and 2 control samples. RRBS libraries were sequenced on Illumina HiSeq 2000/2500 machines. Data are provided as unmapped (raw) .bam files.

  Dataset EGAD00001007080

• WTCCC case-control study for Autoimmune Thyroid Disease

  WTCCC genome-wide case-control association study for Autoimmune Thyroid Disease (ATD) using the 1958 British Birth Cohort collection as controls.

  Study EGAS00000000020

• DAC for "Establishment and characterization of circulating tumor cells-derived organoids from metastatic breast cancer patients."

  This is the DAC for the study "Establishment and characterization of circulating tumor cells-derived organoids from metastatic breast cancer patients." of Andreas Trumpp (a.trumpp@dkfz.de), Roberto Würth (r.wuerth@dkfz.de) and Martin Sprick (Martin.Sprick@hi-stem.de).

  Dac EGAC50000000371

• WGS dataset for malignant pleural and peritoneal mesothelioma

  This dataset contains Whole Genome sequencing data of pleural and peritoneal mesothelioma. The number of samples is 40. Sequencing was performed on Illumina NovaSeq 6000 and Illumina NovaSeqXPlus. The sequencing was always paired.

  Dataset EGAD50000001343

• Phenytoin_case-control

  Genotype dataset from individuals diagnosed with phenytoin-induced Stevens-Johnson syndrome (SJS) or toxic epidermal necrolysis (TEN) and control individuals from the Thai population. DNA was extracted from whole blood, and SNP genotyping was performed using the Illumina HumanOmniExpressExome-8 v1.2 array.

  Dataset EGAD00010002790

• Vascularized human retinal organoids

  Single cell RNA sequencing of human retinal organoids that have been vascularized. Assesses the impact of vascularization on cell types and their gene expression.

  Study EGAS50000000828

• Genotype data of Japanese

  Genotype data of the Japanese population (N=142) were collected at Osaka University. Genotyping was performed using Infinium Asian Screening Array (Illumina, USA).

  Study EGAS00001006950

• Helleday_HRAS_Project

  This experiment is looking at the mutational signatures generated by engineered HRAS mutations by using whole genome sequence generated on massively parallel next generation sequencers.

  Study EGAS00001000332

• SFHS_pedigrees

  Deep (>25x mean coverage) whole genome sequencing on 5-10 families drawn from the Scottish Family Health Study with four or more children.

  Study EGAS00001000078

• Glioblastoma stem cell lines WGS data

  WGS data for 20 Glioblastoma stem cell (GSC) lines and matched blood samples. Fastq files are available. For 10 GSC samples and the 10 matched blood samples the reads are on 3 fastq files per sample

  Dataset EGAD00001006488

• Pilocytic Astrocytoma RNA sequencing

  This dataset contains RNA sequencing samples from the Duesseldorf/LIsbon pilocytic astrocytoma cohort which was profiled using Proteogenomics (RNA Sequencing, proteomics and methylation). There are 48 samples which were sequenced using paired-end sequencing at the University Hopstial Dusseldorf.

  Dataset EGAD00001009053

• Breast Cancer TNBC Single-Cell RNA-Seq Dataset

  Single-cell RNA-Sequencing of five TNBC primary breast cancers from Wu et al. (2020) EMBO J study. Data was generated using the Chromium controller (10X Genomics) and sequenced on the NextSeq 500 platform.

  Dataset EGAD00001006981

• sWGS of CTCL patients

  Paired end shallow whole genome sequencing (sWGS) data for the identification of somatic copy number alterations (SCNA) and the estimation of tumor fraction and ploidy sorted malignant CD3+/Vb+ T-cells and corresponding CD19+ non-malignant B-cells

  Dataset EGAD00001006901

• IsoSeq Subreads bam files (PacBio)

  These are the raw subreads bam files for the pacbio IsoSeq data

  Dataset EGAD00001009514

• Dataset for transcriptome sequencing of chordoma cells

  This dataset contains transcriptome sequencing for 15 samples from chordoma cells. The sequencing was performed on Illumina HiSeq 4000 and Illumina NovaSeq 6000. The sequencing was always paired.

  Dataset EGAD00001015642