12393 results for ""statistically+reactive"+taxa+in+microbial+community"

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• iNHL WXS Data Commitee

  The iNHL WXS Data Commitee is responsible for managing access to datasets submitted to the European Genome-phenome Archive (EGA). Our committee ensures that access requests are evaluated in compliance with ethical guidelines, regulatory requirements, and the conditions specified by data submitters. Researchers requesting access to these datasets must provide a clear and valid scientific purpose, demonstrate affiliation with a recognized institution, and agree to the terms of use outlined in the Data Access Agreement. The iNHL WXS Data Commitee works to uphold data privacy and security while facilitating responsible data sharing to advance scientific discovery. For further information on our policies or the application process, please contact Hauke Busch (hauke.busch@uni-luebeck.de).

  Dac EGAC50000000488

• LungMAP: Molecular Atlas of Lung Development - Human Lung Tissue

  Mammalian fetal lung development is a complex biological process. Despite considerable progress, a comprehensive understanding of the dynamic regulatory networks that govern postnatal alveolar lung development is still lacking. The purpose of this study as part of the LungMAP consortium (www.lungmap.net) is to understand the transcriptional changes in the process of mammalian lung development.

  Study phs001961

• TIGER-LC High-Throughput Sequencing

  Intrahepatic cholangiocarcinoma (CCA) and hepatocellular carcinoma (HCC) are clinically disparate primary liver cancers with etiological and biological heterogeneity. We performed sequencing on multiple data levels of Thai CCA and HCC among the Thailand Initiative in Genomics and Expression Research for Liver Cancer (TIGER-LC) cohort using targeted OncoVar platform, whole exome, whole transcriptome, and whole genome metagenomic sequencing.

  Study phs001199

• WES of der(1;7)(q10;p10) myeloid neoplasms

  The study examined WES of der(1;7)(q10;p10) myeloid neoplasm cases. BAM files of WES of 26 myeloid neoplasm patients with der(1;7)(q10;p10) were used to identify key driver genes in patients with der(1;7)(q10;p10). This study is one of the largest WES for der(1;7)(q10;p10)(+) myeloid neoplasm cases.

  Study EGAS50000000704

• Whole exome sequencing data of patients with resectable esophageal adenocarcinoma treated with neoadjuvant atezolizumab and chemoradiation (PERFECT)

  Whole exome sequencing was performed on matched tumor and normal DNA of patients with resectable esophageal adenocarcinoma that particpated in the PERFECT trial. The PERFECT trial is an open-label, single-arm, multicenter, phase II feasibility study (NCT03087864) investigating the safety and efficacy of atezolizumab, combined with neoadjuvant chemoradiotherapy and subsequent esophagectomy.

  Study EGAS00001006504

• SUM-seq data for spontaneous differentiation of iPSCs upon perturbation of GATA2, NR4A2 or SOX17

  We combined SUM-seq with arrayed CRISPR screening, modulating the expression of key lineage transcription factors (TFs) (GATA2 - mesoderm, SOX17 - endoderm, and NR4A2 - neuroectoderm) in hiPSCs via CRISPR interference (CRISPRi) or activation (CRISPRa) over a time course of spontaneous differentiation (days cultured in vitro: 0, 4, 12, and 18). This totalled to 54 samples (4 day/time points x 3 target TFs x 2-3 gRNAs per target x CRISPRi/a). Single-cell chromatin accessibility and gene expression data is provided as demultiplexed fastq files.

  Dataset EGAD50000001205

• Emirati Phased Diploid T2T Trio-Assembly of a Female Individual

  This dataset contains a telomere-to-telomere (T2T), trio-based genome assembly in FASTA format for a single female Emirati individual (proband) generated using parental information for accurate phasing. Sequencing data comprised PacBio HiFi (>60X per parent, >120X offspring), ONT ultra-long reads (>110X offspring), and Illumina short-read WGS (>100X for all three individuals). The offspring genome was assembled in a trio framework and finished with NTLink (initial scaffolding), RagTag (reference-guided refinement), and Quartett (gap filling). The resulting contiguous assembly serves as a high-quality, population-relevant reference suitable for downstream variant discovery and integration into the pangenome.

  Dataset EGAD50000001754

• The Emirati T2T-level Pangenome: A complete Diploid Graph of 58 Genomes

  This dataset is an Emirati telomere-to-telomere (T2T) pangenome graph in GBZ format built from 116 haplotype-resolved assemblies spanning 58 individuals (28 trio-based and 30 single-sample assemblies). Assemblies were generated with long-read sequencing (PacBio HiFi and ONT ultra-long) with standard polishing, then integrated into a graph representation. The genomes show high contiguity (median ≈150 Mb) and high consensus accuracy (median QV 59). The resulting GBZ graph captures globally shared and Emirati-enriched variation, including sequence in complex regions, and serves as a population-matched reference for downstream variant discovery and annotation.

  Dataset EGAD50000001756

• Whole genome sequence: cardiomyopathy, 1 myotonic dystrophy patient

  In this study, we analyzed the genomic information by whole genome sequencing using peripheral blood samples from patients with various cardiovascular diseases including severe heart failure to identify genetic variants related to the pathology of cardiovascular diseases. The purpose is to elucidate the underlying mechanism and develop new therapeutic interventions for cardiovascular disease.

  Study JGAS000706

• Amplicon based re-sequencing of multi-region PDAC samples

  Multi-region tumor samples were cut from frozen sections or FFPEs and reviewed from microdissection and H&E staining in order to select ones with high cellularity. DNA extraction was done using DNeasy Blood & Tissue Kits for frozen samples following the manufacturer’s guideline. Extracted DNAs were processed on an Illumina HiSeq 2500 in a paired end mode (100x100) using a custom targeted panel based on the list of all unique somatic mutations from the original WES data by the Integrated Genomics Operation (IGO) at Memorial Sloan Kettering Cancer Center (New York, NY).

  Dataset EGAD50000000354