22951 results for "ega"

in 28.26 milliseconds.

• Genome-wide sequencing of (cell-free) DNA from Nipple aspirate fluid of Breast cancer patients

  Study EGAS00001007214

• Cell-free DNA sequencing data of healthy control, atrophic gastritis, and gastric cancer patients’ blood

  Study EGAS00001007308

• Test dataset: Sequence and variant data from public 1000 Genomes Project

  This is a test dataset derived from public data of the 1000 Genomes Project. Its purpose is not to allow for any inference about cohort data or results, but to aid bioinformaticians in the technical development and testing of tools, as well as data consumers in learning how to access information. This dataset consists of 2508 samples from the 1000 Genomes Project (https://www.nature.com/articles/nature15393). Samples' (e.g. NA18534) data can be accessed through the IGSR portal (e.g. https://www.internationalgenome.org/data-portal/sample/NA18534) or their corresponding folder at the 1000 Genomes' FTP site (e.g. http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1000_genomes_project/data/CHB/NA18534/exome_alignment/). There are several different types of data this dataset encompasses: Variant Calling Format (VCF, or its binary counterparts BCF) files, both joint (e.g. ALL_chr22_20130502_2504Individuals.vcf.gz) and split (HG01775.chrY.vcf.gz); exome sequencing CRAM files (e.g. NA18534.GRCh38DH.exome.cram); whole genome sequencing CRAM/BAM files (e.g. NA19239.cram). Additionally, there are multiple files that were sliced to create shorter files, which allows for a quick download, formated as "{FILE-INFO}__{NUMBER-OF-READS}r__{CHR}.{START-COORDINATE}-{END-COORDINATE}.{FILETYPE}" (e.g. "HG01500.GRCh38DH__90r__3.10000-10500__4.10000-10500.cram"). These files can be downloaded directly through the EGA-download-client PyEGA3 (https://github.com/EGA-archive/ega-download-client).

  Dataset EGAD00001003338

• Molecular evolution and clinical trajectories of prostate cancer identifies novel markers for risk stratification - additional data

  Study EGAS00001004884

• BC Cancer, part of the Provincial Health Services Authority, Technology Development Office, Data Access Committee (PHSA TDO DAC)

  Dac EGAC00001003254

• Institute for Refractory Cancer Research (IRCR) Data Access Committee

  Dac EGAC00001000272

• Co-infection of fungi and bacteria in brain tissue from elderly persons and patients with Alzheimer's disease.

  Dac EGAC00001000797

• DAC for study Hominin-specific NOTCH2 paralogs expand human cortical neurogenesis through regulation of Delta/Notch interactions.

  Dac EGAC00001000816

• Wargo Group Data Access Committee for Neodjuvant Immune Checkpoint Blockade in High-Risk Resectable Melanoma

  Dac EGAC00001001008

• DAC - Molecular patterns of response and treatment failure after frontline venetoclax combinations in older patients with AML

  Dac EGAC00001001461

• DAC for study the impact of urbanization and diet on innate immune responses in healthy Tanzanians

  Dac EGAC00001001531

• DAC: Whole-genome and transcriptome sequencing of primary cutaneous CD8+ aggressive epidermotropic cytotoxic T-cell lymphoma

  Dac EGAC00001001533

• T cell receptors of pathogenic CD4 T cells isolated by using distinct phenotypic markers in celiac disease

  Dac EGAC00001002292

• Single-cell RNA sequencing of a PBMC collected from a male with 45,X/48,XYYY karyotype

  Dac EGAC00001002373

• Patient-derived tumor organoids for personalized medicine in a rare case of hepatocellular carcinoma with neuroendocrine differentiation.

  Dac EGAC00001002458

• Evaluating the immune response in treatment-naive hospitalised patients with influenza and COVID-19 Data Access Committee

  Dac EGAC00001002503

• DAC Unravelling the contribution of HIF pathway and its therapeutic potential in human AML leukemia-initiating cells

  Dac EGAC00001002509

• Analysis of recent shared ancestry in a familial cohort identifies coding and noncoding autism spectrum disorder variants

  Dac EGAC00001002558

• Single cell transcriptomics of hESC-derived midbrain dopaminergic neurons generated by a new human development-based protocol

  Dac EGAC00001002707

• EGAD00000000019

  840 families where both parents have been genotyped together with the child with severe malaria

  Dataset EGAD00000000019

• EGAD00000000020

  685 families where both parents have been genotyped together with the child with severe malaria

  Dataset EGAD00000000020

• EGAD00000000122

  Genotypes at MITF E318K variant

  Dataset EGAD00000000122

• EGAD00010000572

  Imputation-based meta-analysis of severe malaria in Gambia.

  Dataset EGAD00010000572

• EGAD00010000750

  German glioma control germline genotypes using Illumina HumanExome-12v1_A array

  Dataset EGAD00010000750

• EGAD00010000752

  German glioma case germline genotypes using Illumina HumanExome-12v1_A array

  Dataset EGAD00010000752