14017 results for "Buy fc coins Buyfc26coins.com is EA Sports official for FC 26 coins Their customer service is very responsive..7ZgM"

in 21.21 milliseconds.

• DAC for Dependency of Transcriptional circuit of glioblastoma-associated macrophages that drive mesenchymal differentiation

  Dac EGAC00001000441

• Wellcome Trust Sanger Institute Data Sharing Policy for Trachoma GWAS

  Dac EGAC00001000489

• Agreement for accessing data of NGS based ctDNA tests

  Dac EGAC00001000598

• Data Access Committee for the Centre National de Recherche en Génomique Humaine (CNRGH)

  Dac EGAC00001000723

• RNA Seq fastq files generated for the "Proteogenomic landscape of medulloblastoma subgroups"

  Dac EGAC00001000792

• DAC for the Canadian Biobank on Respiratory and Allergic diseases (CoBRA)

  Dac EGAC00001000901

• DAC: Whole transcriptome RNA sequencing as comprehensive diagnostic tool for acute myeloid leukemia.

  Dac EGAC00001000956

• DAC for study: Frequent mutation of the FOXA1 untranslated region in prostate cancer

  Dac EGAC00001000962

• DAC for project: Subcutaneous panniculitis-like T-cell lymphomas (SPTCL) with hemophagocytic lymphohistiocytic syndrome.

  Dac EGAC00001000992

• DAC for study: Evaluation of commercial Guardant360 ctDNA test in metastatic prostate cancer

  Dac EGAC00001001082

• FORTH-BRFAA DAC for Systemic Lupus Erythematosus (SLE)

  Dac EGAC00001001213

• DAC for Enhancer-gene rewiring in the pathogenesis of Quebec Platelet Disorder

  Dac EGAC00001001529

• RNA-seq from FFPE - Englander Institute for Precision Medicine - Weill Cornell Medicine DAC

  Dac EGAC00001002098

• Cancer Clinical Research Trust DAC for the 23 WES samples of melanoma subtypes

  Dac EGAC00001002402

• COVID-19 Severity of First Wave of Infection for Severe Patients in Madrid

  Dac EGAC00001002480

• DAC for ACT-Discover: identifying karyotype heterogeneity in pancreatic cancer evolution using ctDNA

  Dac EGAC00001003141

• PopArg94_raw

  Raw data files for 94 Argentinean samples

  Dataset EGAD00010001913

• GermlineSNP

  SNP data for 473 germline samples

  Dataset EGAD00010002039

• COVID-19 Severity of First Wave of Infection for Severe Patients in Madrid

  Dac EGAC00001003435

• Data Access Committee for study Positive Selection in Peruvians from Three Ecological Regions

  Dac EGAC00001002414

• The Data Access Committee for Human Olfactory Mucosa Cells (DAC HOM) at UEF

  Dac EGAC00001003404

• DAC for scRNA-seq and scp-MS data on human bone marrow

  Dac EGAC00001003505

• A machine learning classifier for DNA repair defects using plasma DNA

  Study EGAS00001007006

• Initial cohort of 500 solid tumors screened for Basket of Baskets

  Study EGAS00001005893

• Searching for genetic modulators of the phenotypic heterogeneity in Brugada Syndrome

  Study EGAS00001005848

• DAC_MATCH-R molecular driver

  Data access committee for MATCH-R molecular driver study

  Dac EGAC50000000335

• human HYPOMAP

  Data access for HYPOMAP raw sequence data and result data objects

  Dac EGAC50000000410

• This DAC will review all requests for data related to the dataset: EGAD00001015613.

  Dac EGAC00001003562

• CITE-seq for peripheral blood samples of 5 breast cancer patients

  Study EGAS00001006241

• DAC for DNA methylation data (iMED, BCG prime, and 500FG)

  Dac EGAC00001003534

• human biopsies

  DAC for human samples derived from biopsies from patients with hydrocephaly.

  Dac EGAC50000000625

• Validation study of genome-wide polygenic score for body mass index in South Asians

  Dac EGAC00001003593

• CoV2 challenge data

  Repository containing the transcriptomic data for the CoV2 challenge study

  Dac EGAC50000000391

• H3N2 challenge data

  Repository containing the transcriptomic data for the H3N3 challenge study

  Dac EGAC50000000379

• Exome

  Exome Seq for EGAS00001001845

  Dataset EGAD00001002160

• The MALT1 Locus and Peanut Avoidance in the Risk for Peanut Allergy

  The LEAP study was a randomized controlled clinical trial in children at increased risk for peanut allergy, in which intervention using dietary introduction of peanut protein beginning in the first 4 to 11 months of life, continued until age 5 years, significantly decreased the frequency of peanut allergy later in childhood and modulated the immune response to peanuts. All subject phenotype data will be hosted on ITN Trial Share under the LEAP study.

  Study phs001851

• NHLBI TOPMed: Trans-Omics for Precision Medicine (TOPMed) Whole Genome Sequencing Project: Cardiovascular Health Study

  Participants from the Cardiovascular Health Study (CHS), a large population-based longitudinal cohort study (phs000287), have been included in the TOPMed project. Whole genome sequencing will be performed to contribute to multiple analyses, including cardiovascular disease risk factors, subclinical disease measures, the occurrence of myocardial infarction (MI) and stroke, and analyses of venous thromboembolism (VTE).Comprehensive phenotypic and pedigree data for study participants are available through dbGaP phs000287.

  Study phs001368

• Identification of Novel Therapeutic Targets for Calcific Aortic Valve Stenosis Using Integrative Genomics

  In order to identify novel therapeutic targets for calcific aortic valve stenosis, we have generated a large transcriptomic dataset from RNA sequencing of human aortic valve tissues from 500 individuals undergoing aortic valve replacement or heart transplant at the Institut universitaire de cardiologie et de pneumologie de Québec – Université Laval (QUEBEC-CAVS-RNA). This dataset represents a unique resource to understand the molecular mechanisms underlying aortic valve diseases.

  Study phs003541

• Oesophageal adenocarcinoma scRNAseq from LUD2015-005 study (NCT02735239, EudraCT 2015-005298-19)

  This dataset contains single-cell RNA-seq generated from the LUD2015-005 study (NCT02735239, EudraCT 2015-005298-19) and additional donors with Barrett's oesophagus using the 5' Single Cell Gene Expression assay from 10x Genomics. Samples were generated from oesophageal tumours, Barrett's oesophagus, and normal oesophagus and gastric tissues, with the aim of generating a reference atlas for cell types found in normal and disease-associated tissue states in the upper GI tract. This reference atlas was used as the basis for a deconvolution workflow to estimate the cell composition of bulk transcriptomes from these tissues, and to assess cell type-specific expression patterns of potential predictive biomarkers for immunochemotherapy regimens in this setting.

  Dataset EGAD00001009401

• Indonesian Microbiome Ecology and Evolution v1 (raw data)

  This dataset comprises 124 human faecal samples collected across Indonesia between 2015 and 2021, together with 6 controls. It was collected to study patterns of human microbiome variation across Indonesia’s diverse geography and lifestyles, and to generate the Indonesian Microbiome Ecology and Evolution (IndoMEE) metagenome-assembled genome (MAG) reference database. The dataset consists of 250 bp paired-end metagenomic reads from 124 faecal samples acquired from 116 individuals, at ca. 10.6 Gb / sample, together with 2 positive controls (ZymoBIOMICS Microbial Community DNA Standard by Zymo Research Cat# D6305), and 4 negative controls (for sampling: Blank, for extraction: Buffer EB by Qiagen Cat# 19086, for library prep: Nuclease Free Water by Ambion-Invitrogen Cat# AM9937). Library preparation was carried out using Illumina's TruSeq DNA Nano DNA kit, and sequencing was performed on the Illumina NovaSeq 6000 platform.

  Dataset EGAD50000001399

• A prospective trial comparing adaptive long-read sequencing and short-read genome sequencing for genetic diagnosis of cerebellar ataxia

  This study evaluated the effectiveness of long- and short-read sequencing as diagnostic tools for CA. We recruited 110 individuals (48 females, 62 males) with a clinical diagnosis of CA. Short-read genome sequencing (SR-GS) was performed to identify pathogenic RE and also non-RE variants in 356 genes associated with CA. Long-read adaptive sequencing (LR-AS) was performed to identify pathogenic RE in 67 genes.

  Study EGAS50000000573

• Benchmark Dataset for Somatic Mutation Calling in Cell-Free DNA

  This study provides a comprehensive benchmarking resource for somatic variant detection in cell-free DNA (cfDNA) from cancer patients. Longitudinal plasma samples from colorectal and breast cancer cohorts were selected to create patient-matched dilution series spanning ultra-low to high circulating-tumour-DNA (ctDNA) fractions, while preserving each individual’s germline and clonal haematopoiesis background. Deep whole-genome sequencing (150×) and ultra-deep whole-exome sequencing (2,000×) generated a reference call set of ~37,000 single-nucleotide variants and ~58,000 insertions/deletions. These data enabled systematic evaluation of nine somatic variant callers across variable ctDNA levels and sequencing depths, and were further used to explore machine-learning–guided parameter tuning. The resulting dataset offers an openly accessible framework for developers and clinicians to assess and optimize somatic variant calling in liquid biopsy applications.

  Dataset EGAD50000001870

• Cell-free DNA methylome and fragmentome analysis for disease relapse monitoring in patients with Ewing Sarcoma

  We conducted whole-genome and methylome sequencing of cfDNA from 87 serial samples of 23 patients with EwS and 3 patients with CIC-rearranged sarcoma (CIC). With EwingSign, a new machine learning model, we identified EwS or CIC in a test set for 11 out of 16 patients at diagnosis and 15 out of 18 clinically confirmed relapse events. 0 out of 24 non-cancer controls were detected positive with EwingSign.

  Study EGAS50000001415

• Identification of responsible genes and development of standardized medicine for familial breast cancer by genetic analysis with NGS technology

  Aims: To clarify risk of germline variants of known causal genes for Hereditary Breast Ovarian Cancer Syndrome in Japan by combinatorial analysis of somatic and germline variants in the breast cancer tissue. Methods: Target caputure analysis by using Illumina HiSeq 2000; the panel genes are 119 genes including 30 HBOC known causal genes. Participants/Materials: 108 whole blood and 124 primary tumor samples from familial breast cancer patients.

  Study JGAS000224

• Genetic scoring guide for personalized risk assessment in pediatric B-cell precursor Acute Lymphoblastic Leukemia

  In this study a next-generation sequencing based method was applied to comprehensively screen for recurrent, disease-relevant copy number aberrations in a cohort of Hungarian patients. Diagnostic bone marrow samples from 260 children with B-cell acute lymphoblastic leukemia and were investigated by digital multiplex ligation-dependent probe amplification using the disease-specific D007 probemix. Whole chromosome gains and losses, as well as subchromosomal copy number aberrations were simultaneously profiled.

  Study EGAS00001007239

• Deep targeted DNA sequencing dataset for the study "Molecular characteristics in Burkitt lymphoma over age groups"

  We performed deep targeted DNA sequencing with a panel of 134 selected cancer-related genes previously identified to be recurrently mutated in BL/B-AL. A Nextera rapid capture custom kit was designed using the Illumina DesignStudio. For every gene, all regions in which previous mutations had been described were covered. For 40 of these genes, the entire coding sequence was covered. Targeted deep sequencing was performed on a MiSeq-Sequencer using MiSeq Reagent Kit v2 (300 cycle) with 24 samples per run. There are 396 samples in this targetedDNAseq-dataset with 298 tumors (288 patients and 10 cell lines) and 98 normals. There are 132 female, 262 male, and 2 unknown gender samples in this dataset.

  Dataset EGAD00001007708

• Genome-wide genotyping data and exome sequencing of 100 European-descent and 100 African-descent Belgians used in the EGAS00001001895 study

  We recruited 100 healthy, male donors of self-reported European descent (EUB) and 100 of self-reported African descent (AFB) (Ghent, Belgium). For each participant, peripheral blood mononuclear cells (PBMCs) were isolated from whole blood on Ficoll-Paque density gradients. Monocytes were then positively selected with magnetic CD14 microbeads and exposed for 6 hours to different ligands activating TLR4 (LPS), TLR1/2 (Pam3CSK4), TLR7/8 (R848) and to a human seasonal influenza A virus (IAV). High-quality RNA was obtained from unstimulated and stimulated monocytes for 970 of the 1000 samples (200 x 5 conditions), and was sequenced on an Illumina HiSeq2000. On average, 34 million 101-bp single-end reads were obtained per sample.

  Dataset EGAD00001002714

• NGS data of human NES cells and tumors

  Raw RNA-seq data for WT and 2 Gorlin NES cells, tumors derived from MYCN mis-expressed WT NES cells, tumors derived from Gorlin NES cells, and tumors derived from Gorlin NES cells transduced with mutant DDX3X (R351W and R534S) and CRISPR/Cas9 targeting GSE1 (each sample has 3 replicates/tumors except Gorlin NES cell tumors have 4). Raw whole exome sequencing data for WT and Gorlin 1 NES cells, tumors derived from MYCN mis-expressed WT NES cells, and tumors derived from Gorlin NES cells (each sample has 3 replicates/tumors except Gorlin NES cell tumors have 4). Raw data for amplicon sequencing of GSE1 and KDM3B at regions targeted by CRISPR/Cas9 in Gorlin NES cells.

  Dataset EGAD00001004990

• Fastq files for the single cell RNAseq data of Follicular lymphoma study

  Fastq files for the single cell RNAseq data of Follicular lymphoma study. This dataset includes the paired single cell RNA sequencing data for 23 samples.

  Dataset EGAD00001008595

• Variant calls for "Quality of Whole Genome Sequencing from Blood versus Saliva Derived DNA in Cardiac Patients"

  Paired blood and saliva samples from five unrelated individuals were directly compared for quality of whole genome sequencing. Two (Sample Pairs 1 and 2) were female probands diagnosed with tetralogy of Fallot, a type of congenital heart disease, and three (Sample Pairs 3, 4 and 5) were male probands diagnosed with hypertrophic cardiomyopathy. WGS was performed using Illumina HiSeq X to a target average coverage depth of 30x and a read length of 150 bp. The resulting reads were not filtered for minimum quality in order to avoid losing possible contaminant reads. Sequencing read alignment was done using Isaac Aligner to human genome build hg19. Short variant i.e. single-nucleotide variant (SNV) and small insertion-deletion (indel) calling was performed using Isaac Variant Caller with default parameters.

  Dataset EGAD00001005772