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• Artificial mixtures of sonicated human and mouse DNA at different sizes were sequenced (Nanopore)

  Artificial mixtures of sonicated human and mouse DNA at different sizes were sequenced

  Dataset EGAD00001008981

• Study2OrangeFiber

  SOMAscan plasma proteome datasets generated from participants consuming the orange fiber snack prototype (study 2)

  Dataset EGAD00010002191

• Study1PeaFiber

  SOMAscan plasma proteome datasets generated from participants consuming the pea fiber snack prototype (study 1)

  Dataset EGAD00010002192

• SolomonIslands.Dataset

  The tar archive contains unflitered genotype data from Pugach et al 2018 in plink format

  Dataset EGAD00010002306

• SEAsia.Oceania.Australia

  the tar archive contains unflitered genotype data from Reich et al AJHG 2011 study in plink format

  Dataset EGAD00010002302

• Present-day genomics from the Eurasian steppe

  502 genotypes obtained from Illumina DNA-arrays. Available as plink formatted files

  Dataset EGAD00010001538

• Bacteria Lateral sclerosis

  The study aims to find bacteria in neural tissue from patients with amyotrophic lateral sclerosis

  Dataset EGAD00001004458

• Hessequa-descendants mitogenomes

  Complete sequence of the mitochondrial DNA of 87 Hessequa-descendant individuals

  Dataset EGAD00001007676

• RNA-sequencing of gluten-reactive and non-reactive T-cells from blood samples of treated CeD patients during a gluten-challenge

  Gluten-specific CD4+ T cells are drivers of celiac disease (CeD). Here we aimed to characterize such cells in blood of treated CeD patients during gluten challenge with comparison to similar cells of untreated disease. Treated CeD patients underwent a 3-day gluten-challenge with blood sampling at baseline and day 6 (d6). Blood cells were stained with HLA-DQ:gluten tetramers (Tetramer). CD4+, gut-homing Tetramer+ and Tetramer- effector-memory T (TEM) cells at d6 were subjected to bulk RNA-seq (n=7).

  Study EGAS00001004988

• Multiomic cell-free DNA profiling to inform molecular classification and immunotherapy outcomes in endometrial cancer

  This study involved a cell-free DNA (cfDNA) framework integrating genomic, transcriptomic and epigenomic profiling to investigate patient response to immune checkpoint inhibitors in advanced endometrial cancer (EC) with mismatch repair deficiency (dMMR).

  Study EGAS50000001582