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• HDBR exome sequencing data (November 2022)

  Exome sequencing data from seven phenotypically abnormal human fetal samples. Anaysis perfomed using Illumina NovaSeq 6000, Twist Bioscience - Human Comprehensive Exome. Paired end fastq files were aligned to hg38 reference genome using BWA-MEM v0.7.15, followed by sorting using SAMtools sort v1.3.1, and duplicate reads marked using Picard Tools MarkDuplicates v2.18.2

  Dataset EGAD00001009715

• Pre-neoadjuvant treatment biopsy RNAseq breast cancer dataset

  This dataset contains RNAseq data of n=87 pre-treatment biopsies of triple negative and luminal- type breast cancer patients, all scheduled to receive neoadjuvant chemotherapy. Gene expression data is linked with treatment response and survival.

  Dataset EGAD00001008433

• MAF dataset of Colorectal Cancer Synthetic genomes

  This dataset contains genomic variants data in MAF format from four patients synthetically generated

  Dataset EGAD50000000315

• Integrated Genomic and Transcriptomic Analysis Reveals Unique Characteristics of Hepatic Metastases and Pro-metastatic Role of Complement C1q in Pancreatic Ductal Adenocarcinoma

  Study EGAS00001004821

• Single cell sequencing reveals expanded cytotoxic CD4+ T cells and two clusters of peripheral helper T cells in synovial fluid of ACPA+ RA patients

  Study EGAS00001005241

• CRISPR_perturbations_IRF4_PRDM1_Bcells

  CRISPR perturbations of IRF4, PRDM1, and AAVS1 (within PPP1R12C gene) in activated B cells

  Dataset EGAD50000002113

• ATAC-seq in colon normal mucosa

  ATAC-seq

  Dataset EGAD00001007690

• Purple copy number segments for EGAS00001004572

  Bulk copy number segments from Purple analysis in EGAS00001004572

  Dataset EGAD00001006908

• Gut metagenome/FR 2002

  The main goal of the project is the study the associations between the gut metagenome and human health. The dataset contains data for n=7211 FINRISK 2002 participants who underwent fecal sampling. Demultiplexed shallow shotgun metagenomic sequences were quality filtered and adapter trimmed using Atropos (Didion et al., 2017), and human filtered using Bowtie2 (Langmead and Salzberg, 2012).

  Study EGAS00001005038

• Single cell RNA seq of the developing human embryo brain

  The study aims at identifying the cell types and lineages of the developing human brain.

  Study EGAS00001004107