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• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90682

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 624 samples; filetype=bam

  Dataset EGAD00001004737

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90685

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 481 samples; filetype=bam

  Dataset EGAD00001004738

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90689A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 378 samples; filetype=bam

  Dataset EGAD00001004739

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90689B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 735 samples; filetype=bam

  Dataset EGAD00001004740

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90689C

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 718 samples; filetype=bam

  Dataset EGAD00001004741

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90694A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 493 samples; filetype=bam

  Dataset EGAD00001004742

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90694B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1222 samples; filetype=bam

  Dataset EGAD00001004743

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A90706

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 522 samples; filetype=bam

  Dataset EGAD00001004744

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95621B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 488 samples; filetype=bam

  Dataset EGAD00001004745

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95622A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 509 samples; filetype=bam

  Dataset EGAD00001004746

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95624A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 604 samples; filetype=bam

  Dataset EGAD00001004747

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95632B

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 626 samples; filetype=bam

  Dataset EGAD00001004748

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95632D

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 635 samples; filetype=bam

  Dataset EGAD00001004749

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95660A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 1522 samples; filetype=bam

  Dataset EGAD00001004750

• Whole genome sequencing of single cells identifies stochastic aneuploidies, genome replication, states, and clonal repertoires for library A95664A

  Transposase-based amplification-free single-cell genome direct library preparation in nanowell chips; 465 samples; filetype=bam

  Dataset EGAD00001004751

• 20210708_EGA_Melanoma_mk2 WGS 570 donors

  Illumina platform whole genome sequencing data for matched tumour-normal DNA samples from 570 melanoma patients

  Dataset EGAD00001008798

• scRNAseq from MPNST progression

  scRNAseq from tumors of the peripheral nerve system associated with Neurofibromatosis Type 1 (NF1). It includes 5 Plexiform Neurofibromas (PNF), 4 Atypical Neurofibromas (ANF or ANNUBP) and 3 Malignant Peripheral Nerve Sheath Tumors (MPNST) from patients with NF1 as well as 4 control nerves from healthy individuals. Gene Expression data from 10X scMultiome experiments.

  Dataset EGAD50000002508

• WGS data of paediatric hyperdiploid B cell acute lymphoblastic leukemia (set4)

  The dataset includes FASTQ and CRAM files from diagnostic and matched remission (control) samples of one hyperdiploid ALL patient (ALLK-134). Sequencing libraries were made using Novogene NGS DNA Library Prep Set (Cat No. PT004). Both diagnostic (90x) and remission (30x) samples were sequenced using Illumina NovaSeq X Plus.

  Dataset EGAD50000002429

• Expression quantitative trait loci influence DNA damage-induced apoptosis in cancer

  Dataset with eQTL and e2QTL metadata. The analyses were performed using CD8+ T cells from 461 healthy European participants stimulated with high doses of 5 different carcinogens to induce early apoptosis. These include Methyl-methanesulfonate (MMS), tert-butyl-hydroperoxide (TBOOH), benzo(a)pyrene-7,8-diol-9,10-epoxide (BPDE), 4-hydroxycyclophosphamide (HC) and UVC radiation.

  Dataset EGAD50000000941

• Investigating differential diagnostic and prognostic biomarkers in primary cutaneous follicle center lymphoma and follicular lymphoma using low-coverage whole-genome sequencing

  In this study, we analyzed 28 primary cutaneous follicle center lymphoma samples from 20 patients and compared the copy number profiles to a cohort of diagnostic samples of 64 nodal follicular lymphoma patients using low-coverage whole genome sequencing (lcWGS).

  Dataset EGAD50000000199

• MDS PacBio LRTS IsoSeq

  This dataset contains long read transcriptome sequencing of 25 myelodysplastic sndrome (MDS) patients with or without mutation in SF3B1. The BAM files are unaligned CCS reads.

  Dataset EGAD50000000077

• IMSGC and MultipleMS project MS patients from Germany, Mainz

  Genotype and phenotype data on 301 MS patients from Germany, Mainz. All individuals were whole-genome genotyped on the Illumina Global Screening Array and files are provided in plink2 format (pgen / pvar / psam files). Provided phenotypes are sex, year of birth, age and Age Related Multiple Sclerosis Severity (ARMSS) score.

  Dataset EGAD00010002484

• IMSGC and MultipleMS project MS patients from Italy, Piedmont

  Genotype and phenotype data on 1067 MS patients from Italy, Piedmont. All individuals were whole-genome genotyped on the Illumina Global Screening Array and files are provided in plink2 format (pgen / pvar / psam files). Provided phenotypes are sex, year of birth, age and Age Related Multiple Sclerosis Severity (ARMSS) score.

  Dataset EGAD00010002490

• IMSGC and MultipleMS project MS patients from Germany, TUM

  Genotype and phenotype data on 683 MS patients from Germany, TUM. All individuals were whole-genome genotyped on the Illumina Global Screening Array and files are provided in plink2 format (pgen / pvar / psam files). Provided phenotypes are sex, year of birth, age and Age Related Multiple Sclerosis Severity (ARMSS) score.

  Dataset EGAD00010002489

• IMSGC and MultipleMS project MS patients from Italy, OSR

  Genotype and phenotype data on 538 MS patients from Italy, OSR. All individuals were whole-genome genotyped on the Illumina Global Screening Array and files are provided in plink2 format (pgen / pvar / psam files). Provided phenotypes are sex, year of birth, age and Age Related Multiple Sclerosis Severity (ARMSS) score.

  Dataset EGAD00010002486