12504 results for ""non-traditional+communal+storytelling+approach"+novel+segment+noted+in+critical+commentary"

in 20.22 milliseconds.

• Targeted_NanoSeq_Sperm

  Targeted NanoSeq in sperm samples provided by healthy patients. A custom-designed panel of ~200 genes will be used to achieve high depth coverage (aiming for ~1000X at panel sites).

  Study EGAS00001005920

• Single nucleus and in situ RNA sequencing reveals cell topographies in the human pancreas

  To investigate the cellular composition of the human pancreas, we performed single-nucleus sequencing from snap frozen biopsies of pancreata from adult, neonatal and diseased (chronic pancreatitis) human donors.

  Dataset EGAD00001006396

• small RNA next generation sequencing in head and neck cancer

  small RNA next generation sequencing in head and neck cancer

  Dataset EGAD00001008402

• Processed DNA methylome sequencing data

  The dataset contains methylation values of all SNP-filtered CpG sites for all samples from the air pollution study (total n=60). Nasal lavage samples were collected from n=29 moderately exposed (residing in Stuttgart) and n=31 lowly exposed (residing in Simmerath) individuals. For methods and study details, please see PMID 37343754.

  Dataset EGAD00001011208

• ChIP-sequencing in human monocyte differentiation

  This dataset consists of ChIP-seq data from human monocytes, monocyte-derived dendritic cells as well as monocyte-derived cells that were subjected to siRNA treatment targeting CTCF or RAD21. ChIP-sequencing was done for H3K27, RAD21 and CTCF. In total, the data set includes 120 samples.

  Dataset EGAD00001007954

• Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations WGS

  Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations WGS

  Dataset EGAD00001010042

• In this study single cell RNA-Seq data was used to train a deconvolution algorithm. The algorithm was validated on paired bulk RNA-Seq profiles.

  In this study single cell RNA-Seq data was used to train a deconvolution algorithm. The algorithm was validated on paired bulk RNA-Seq profiles.

  Dataset EGAD00001009688

• DigiPico sequencing data for the study of active mutational processes in HGSOC

  The dataset contains Bam files from DigiPico runs as well as bulk sequencing data used in the "A highly accurate platform for clone-specific mutation discovery enables the study of active mutational processes" publication.

  Dataset EGAD00001005118

• Predictor_RIO_TNBC (2019-04-03)

  In this study, samples fom a window study of the PARP inhibitor rucaparib in patients with primary triple negative or BRCA1/2 related breast cancer (RIO trial) will be investigated. Samples will undergo whole genome sequence and analysis, including use of HR Predict. . This dataset contains all the data available for this study on 2019-04-03.

  Dataset EGAD00001004894

• Total RNAseq in the sporadic ALS and healthy control motor cortex

  The motor cortex is the earliest affected brain region in ALS. This dataset contains total RNA sequencing (stranded, 2x101bp) data derived from the motor cortex of 11 sporadic ALS patients and 8 healthy controls.

  Dataset EGAD00001006022

• Nuclear Optimized 10x data

  Optimized 10x library to increase the coverage of selected nuclear variants from 3’ 10x Genomics scRNAseq data. SNVs were selected based on exome data and criteria described in the Supplementary Information of the manuscript.See details of the experimental method in the methods section of the manuscript

  Dataset EGAD00001010192

• MutaSeq data for A.10-12

  MutaSeq was applied to CD34+ cells from patient samples A.10, A.11 and A.12 of the study. The protocol followed is described in https://doi.org/10.1038/s41467-021-21650-1 and in the methods of the manuscript

  Dataset EGAD00001010189

• Gene expression in human monocyte differentiation

  This dataset consists of RNA-seq data from human monocytes, monocyte-derived dendritic cells or monocyte-derived macrophages as well as monocyte-derived cells that were subjected to siRNA treatment targeting CTCF or RAD21. In total, it includes 63 samples.

  Dataset EGAD00001007956

• 4C-seq in endometrial healthy and tumor tissues

  4C-seq performed on 10 slices (30um thick) of fresh frozen endometrial tissues. These tissue include 2 healthy tissues and 4 tumor tisseus (post-menopausal patients) in replicate. The library has been performed using DpnII (primary) and NlaIII (secondary) restriction enzymes. Raw single-end fastq.gz files are provided.

  Dataset EGAD00001010897

• Understanding the development of resident memory T cells (Trm) in the human small intestine using integrative multiomic approaches: Paediatric RNA (2026-01-15)

  This study involves atlasing the development of the postnatal gut nervous system in order to elucidate the pathogenic mechanisms of Hirschsprung disease. . This dataset contains all the data available for this study on 2026-01-15.

  Dataset EGAD00001015797

• Measurable residual disease in elderly acute myeloid leukemia: results from the PETHEMA-FLUGAZA phase III clinical trial

  In our study, we hypothetyzed that CD34progenitors from cases with undetectable Minimal residual Disease (MRD) by flow cytometry would contain cells with leukemic-initiating-potential that could be identified on genetic (rather than phenotypic) grounds by Whole Exome Sequencing.

  Dataset EGAD00001006585

• Understanding the development of resident memory T cells (Trm) in the human small intestine using integrative multiomic approaches: Paediatric Spatial (2025-07-31)

  This study involves atlasing the development of the postnatal gut nervous system in order to elucidate the pathogenic mechanisms of Hirschsprung disease. . This dataset contains all the data available for this study on 2025-07-31.

  Dataset EGAD00001015665

• Single-Cell Data from "Spatiotemporal T-cell tracking for personalized T-cell receptor T-cell therapy designs in childhood cancer"

  This dataset contains the FASTQ files from the Single-Cell GEx+TCR 10X Genomics data from the study "Spatiotemporal T-cell tracking for personalized T-cell receptor T-cell therapy designs in childhood cancer" (EGAS00001008174)

  Dataset EGAD00001015632

• Whole exome sequencing of 27 Greenlanders

  The data contain whole exome sequencing of 27 Greenlanders in nine trios. Data were produced by Agilent SureSelect capture followed by paired-end Illumina HiSeq 2000 sequencing to a depth of 90.1X. More details on processing and analysis can be found in Moltke et al, Nature 2014 (PMID 25043022).

  Dataset EGAD00001003813

• EPITREAT pilot cohort

  Benchmark data set containing five tumor/normal pairs of non-small cell lung cancer (NSCLC) patients. Tissue pairs were screened with bisulfite (BS) sequencing, MeDIP methylation enrichment sequencing and RNA sequencing in order to identify differentially methylated and expressed spots in the genomes.

  Dataset EGAD00001003116

• Delineate genomic and epigenomic changes in esophageal squamous cell carcinoma following radiotherapy

  We performed whole-exome sequencing and whole epigenome sequencing (RRBS) of samples collected from different time points during radiotherapy from thirty-four ESCC patients. We compared the genetic and epigenetic features of the different time biopsy samples to reveal the changes in ESCC received radiotherapy.

  Dataset EGAD00001003799

• Edinburgh Naevi Cohort (2018-08-03)

  In this project we have sequenced the exome of skin moles (melanocytic naevi) and also normal skin from young and old people. We are interested in looking at the clonality of these lesions and the burden of UV mutations . This dataset contains all the data available for this study on 2018-08-03.

  Dataset EGAD00001004273

• GIS-LUNGTCR1-2016_WES-FASTQ

  This dataset contains FASTQ files for multi-region exome-sequencing of EGFR-mutant lung adenocarcinomas from Asian patient. There are 16 patients and 95 samples in total, including 16 controls and 79 tumors. Multiple runs for each sample, and 368 fastq in total. Please refer to the sample-ID from filename for merging.

  Dataset EGAD00001001978

• 200PG : WGS Raw Sequence (fastq)

  200PG : WGS Raw Sequence (fastq) : Raw WG sequence data (fastq) in this dataset are from the 124 CPCGene Tumour/Normal Pairs used in the 200PG Study. https://www.ncbi.nlm.nih.gov/pubmed/28068672

  Dataset EGAD00001001094

• SardiNIA Medical Sequencing Discovery Project

  The SardiNIA Medical Sequencing Discovery Project studies the genetics of blood lipid levels and personality in a Sardinian population cohort. The project has generated draft genome sequences for approximately 2,000 individuals using whole genome shotgun sequencing. The draft sequences will allow investigators to evaluate the contribution of common and rare single nucleotide polymorphisms, short insertions and deletions, large copy number polymorphisms and other structural variants to blood levels of low density lipoprotein cholesterol (LDL-c), high density lipoprotein cholesterol (HDL-c) and triglycerides (TG), all of which are key risk factors for cardiovascular disease, and to the 5 domains of personality as assessed by the NEO-PI-R questionnaire. The two traits represent different ends of the spectrum of medically interesting complex traits. Blood lipid levels are a risk factor for cardiovascular disease for which genetic studies have been very successful. In contrast, personality traits and other behavioral phenotypes represent a set of phenotypes that have proven more challenging to dissect using standard genetic tools. In both cases, we expect whole genome sequencing to improve our understanding of the underlying biology. The isolated Sardinian population is ideal for this type of study for several reasons, in particular because: (i) the bottleneck that occurred after colonization of the island attenuated natural selection against alleles with phenotypic consequences, increasing the odds that functional alleles will reach modest frequencies (0.5 - 5.0%) and will be detected in the present study and (ii) sharing of long haplotype stretches surrounding rare variants will facilitate imputation based analyses of shotgun sequence data, which improve the accuracy of individual genotype calls and thus increase power. This research helps advance NIH's mission by furthering our understanding of the genetic factors contributing to blood lipid levels and coronary heart disease and to personality, behavior and mental health. In addition, these data should facilitate development of analysis tools and strategies that can be used to study the genomes of hundreds to thousands of individuals and further our understanding of the genetics and biology of many different traits and conditions.

  Study phs000313