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13393 results for ""pdc"+"heritage+language"+census+study"

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Study type

affected sib pairs aggregate genomic data amplicon sequencing atac sequencing cancer genomics case set case-cohort case-control clinical cohort clinical diagnostic testing clinical genetic testing clinical trial cohort collection community control set controlled trial copy number variation (cnv) cross-sectional double-blind electronic medical records epigenetics eqtl exome sequencing extended pedigrees family family linkage forensic or paleo-genomics full transcriptome sequencing gene regulation study genotype genotype/expression genotype/expression array gwas individual-level genomic data interventional longitudinal longitudinal cohort marker discovery mendelian meta-analysis metagenomics metastasis methods development mixed multicenter multiplex families nested case-control nuclear families observational other parent-offspring parent-offspring trios partial factorial randomized phase iii placebo-controlled pooled clone sequencing population population genomics population-based control set probands prospective quantitative cross-sectional randomized randomized controlled clinical trial reference set resequencing rna sequencing rnaseq sequencing sibling cohort single cell analysis single cell rna sequence single cell rna sequencing single patient snp array analysis stem cell lines synthetic genomics targeted capture sequence transcriptome analysis transcriptome sequencing transcriptome sequencing (tumor only) tumor tumor vs. matched-normal twin virus capture sequencing whole genome sequencing whole-genome bisulfite sequencing xenograft

Dataset types

amplicon sequencing chip-seq chromatin accessibility profiling by high-throughput sequencing exome sequencing genomic variant calling genotyping by array histone modification profiling by high-throughput sequencing methylation binding domain sequencing methylation profiling by high-throughput sequencing phenotype information study summary information transcriptome profiling by array transcriptome profiling by high-throughput sequencing whole genome sequencing

Dataset technologies

ab 3730xl genetic analyzer ab 5500xl genetic analyzer ab solid 4 system affy mirna 3.0 array affymetrics axiom snp array 2.0 affymetrix affymetrix 6.0 array affymetrix 6.0; cytoscan affymetrix axiom 850k pmda array affymetrix axiom genome-wide asi 1 array affymetrix axiom genome-wide human origins array affymetrix biobank array affymetrix oncoscan ffpe express affymetrix, thermo fisher scientific agilent human mirna microarray axiom uk biobank array bgiseq-500 clariomâ„¢ d human assay complete genomics coreexome illumina snp chip array dnbseq-g400 dnbseq-t7 epic beadchip hiseq x five hiseq x ten human cardio metabochip human clariom d arrays human genome u219 array plate humanht-12 illumina (epic array) illumina 450k illumina cardio-metabochip illumina genome analyzer illumina genome analyzer ii illumina genome analyzer iix illumina global screening array illumina gsa v1.0 illumina hiseq 1000 illumina hiseq 1500 illumina hiseq 2000 illumina hiseq 2500 illumina hiseq 3000 illumina hiseq 4000 illumina hiseq x illumina human methylation epic beadchip illumina human omni1-quad beadchip. illumina humancoreexome beadchip array illumina humancoreexome-12v1-1_a illumina humancoreexome-24v1-0 illumina humancoreexome-24v1-1 illumina humanmethylation450 illumina humanomni1-quad_v1-0 illumina humanomni1-quad_v1-0, humanomniexpress-12-v1-0, humanomniexpress-24-v1-1, humanomni25-8v1-2_a1 illumina humanomni2.5 illumina humanomni2.5-8 illumina humanomni5-quad and exome sequencing illumina humanomniexpress-12 illumina humanomniexpress-12-v1-0 illumina humanomniexpress-24-v1-1 illumina humanwg-6 illumina humanwg-6 version 3 or illumina humanht-12 expression bead chip, combined on identical nucleotide universal identifiers. illumina infinium epic illumina infinium h3africa (v2) with custom add-ons illumina infinium immunochip illumina infiniumomniexpressexome-8 illumina mega array illumina methylationepic v2.0 illumina miniseq illumina miseq illumina novaseq 6000 illumina novaseq x illumina novaseq x plus illumina omni 2.5 illumina omni 2.5m illumina oncoarray illumina sangerddd_omniexplusv1_15019773 infinium gsa infinium methylationepic array ion genestudio s5 ion torrent pgm ion torrent proton ion torrent s5 xl llumina 2.5-8 minion nextseq 2000 nextseq 500 nextseq 550 nimblegen hg18 cgh 385k omniexpress omniexpress-24 v1.1 pacbio rs ii promethion qexactive plus revio sanger sequencing sequel sequel ii sequel iie sequenom massarray (agena bioscience) somascan 1.3k proteomic assay uk biobank axiomâ„¢ array unspecified

Phenotypes

CHEBI:33699 CL:0000037 CL:0000084 CL:0000094 CL:0000235 CL:0000576 CL:0000837 CL:0000863 CL:0000890 CL:0002057 EFO:0000094 EFO:0000209 EFO:0000211 EFO:0000220 EFO:0000222 EFO:0000272 EFO:0000275 EFO:0000280 EFO:0000285 EFO:0000309 EFO:0000322 EFO:0000330 EFO:0000339 EFO:0000349 EFO:0000403 EFO:0000478 EFO:0000519 EFO:0000565 EFO:0000574 EFO:0000586 EFO:0000609 EFO:0000632 EFO:0000637 EFO:0000693 EFO:0000980 EFO:0001461 EFO:0001663 EFO:0001905 EFO:0002001 EFO:0002002 EFO:0002422 EFO:0002499 EFO:0002508 EFO:0002539 EFO:0002759 EFO:0002939 EFO:0002966 EFO:0003025 EFO:0003094 EFO:0003885 EFO:0003897 EFO:0003940 EFO:0004281 EFO:0005023 EFO:0005543 EFO:0005699 EFO:0005704 EFO:0005705 EFO:0005706 EFO:0005707 EFO:0005708 EFO:0005709 EFO:0005710 EFO:0005711 EFO:0005712 EFO:0005740 EFO:0005922 EFO:0006545 EFO:0009119 EFO:0009121 EFO:0009443 EFO:0010064 EFO:1000028 EFO:1000042 EFO:1000068 EFO:1000069 EFO:1000177 EFO:1000180 EFO:1000231 EFO:1000238 EFO:1000327 EFO:1000490 EFO:1001480 EFO:1001514 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Duo

0000001 0000004 0000005 0000006 0000007 0000011 0000012 0000014 0000015 0000016 0000017 0000018 0000019 0000020 0000021 0000022 0000024 0000025 0000026 0000027 0000028 0000029 0000042 0000043 0000044 0000045 0000046

Clear

Single-cell RNA-seq data from metastatic ovarian cancer for quality control study

Quality control is a crucial preliminary step in any single-cell RNAseq experiment, where hard thresholds are commonly used. In order to develop a methodology for a more precise cell filtering in the early steps of a scRNAseq data analysis, we collected tissue samples before chemotherapy from 4 patients.
Study EGAS00001005066
Exome Sequencing to Identify Causes of Leukaemia Predisposing Congenital Neutropenias (2019-08-19)

The objective of this study is to identify the causative genes in two unrelated congenital neutropenia families. We aim to whole exome sequence the affected individuals, unaffected siblings and parents in both cases in an effort to idenitfy the causative genetic mutation. Exome capture will be performed using Agilent SureSelect system. Subsequently, exome libraries will sequenced using the Illumina HiSeq platform. Sequence variant calling will be done in house and common variants excluded using public databases and data from unaffected family members. . This dataset contains all the data available for this study on 2019-08-19.
Dataset EGAD00001005264
Investigating the genetics of immunity against Salmonella in humans (2019-09-05)

This study entails whole genome sequencing of an interleukin (IL)-12 b-1 receptor-deficient individual who presented with a chronic systemic Salmonella Enteritidis infection that did not resolve with standard IFNg and antibiotic treatment. Whole genome sequencing of the patient's parents are also included. 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/ . This dataset contains all the data available for this study on 2019-09-05.
Dataset EGAD00001005311
Whole Genome Sequencing of Human Organoid Lines (2020-02-20)

The study will use WGS to aid in benchmarking different culture conditions in a set of genetically annotated human organoid lines. The data will be used to assess whether there is any clonal differences introduced when culturing these lines in different conditions. . This dataset contains all the data available for this study on 2020-02-20.
Dataset EGAD00001005995
RNA and ChIP Sequencing datasets from the study Kalirin-RAC controls nucleokinetic migration in ADRN-type neuroblastoma

This dataset contains the RNA and ChIP Sequencing data from the study Kalirin-RAC controls nucleokinetic migration in ADRN-type neuroblastoma. The data is organized in 7 experiments which are divided by both sequencing technology or the application of siRNA or drug interventions (or lack thereof) on neuroblastoma cell lines. The experiment names and the file names have been chosen in each respective experiment to guide future users of the data to replicate the analyses in the manuscript.
Dataset EGAD00001006964
Sequence data for study: Mobilization of tissue-resident memory CD4+ T lymphocytes from bone marrow and their contribution to a systemic secondary immune reaction

Short Description: This study contains 7 RRBS samples, including 3 ex vivo CD4+ Trm (2 x spleen and 1 x bone marrow) and 4 blood tetanus (TT) and measles (Me) antigen-reactive memory CD4+ cells before and one day post DTaP (diphtheria-tetanus-pertussis) and MMR (measles-mumps-rubella) vaccination, respectively (1 x tetanus D0, 1 x tetanus D1, 1 x measles D0, 1 x measles D1). Technology: Illumina HiSeq 2500 Filetype: fastq format
Dataset EGAD00001007886
Comprehensive copy number aberration analysis using digital Multiplex Ligation-dependent Probe Amplification (digitalMLPA) 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 as well as 72 control samples 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.
Dataset EGAD00001010878
Single-cell ATAC-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 single-cell ATAC sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.
Dataset EGAD00001015715
Single-cell 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 single-cell RNA sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.
Dataset EGAD00001015710
Single-cell ATAC-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 single-cell ATAC sequencing of RMS tumours data. . This dataset contains all the data available for this study on 2025-09-30.
Dataset EGAD00001015711

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