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• Genome-wide data Iberian Roma

  VCF file with genome-wide data for 62 Iberian Roma samples.

  Dataset EGAD00001006358

• Cell-free DNA TAPS provides multimodal information for early cancer detection

  TAPS data from 21 patients with HCC, 23 patients with PDAC, 30 non-cancer controls, 4 patients with cirrhosis, and 7 patients with pancreatitis.

  Dataset EGAD00001006871

• single cell RNAseq data of lung adenocarcinoma

  Single-cell RNA sequencing was performed for cells from five early-stage LUADs and fourteen multi-region normal lung tissues of defined spatial proximities from the tumors.

  Dataset EGAD00001006936

• Response labels from NABUCCO cohort 1 (NCT03387761)

  Data from NABUCCO cohort 1 (NCT03387761). This dataset includes the Response labels used for the analysis of the data. Details about the clinical definitions of Response can be found on the paper (https://doi.org/10.1038/s41591-020-1085-z)

  Dataset EGAD00001006853

• Bulk RNAseq fastq files

  RNAseq FASTq files from 15 samples from patients with ovarian cancer, 5 samples for each of the 3 tumor immune phenotypes (Infiltrated, Excluded and Desert).

  Dataset EGAD00001006975

• TPM matrix

  TPM matrices of counts from RNAseq data for IMvigor010 from bulk pre-treatment tumors.

  Dataset EGAD00001007653

• POPLAR clinical data

  Relevant clinical data for POPLAR including treatment arm, histology, overall survival, progression-free survival, and best confirmed overall response.

  Dataset EGAD00001008548

• OAK clinical data

  Relevant clinical data for OAK including treatment arm, histology, overall survival, progression-free survival, and best confirmed overall response.

  Dataset EGAD00001008549

• CBD-RAW-RNASEQ-MINI: Mini-bulk RNAseq data

  SmartSeq2 RNAseq data from 16 samples. For further information regarding this dataset, please contact Julian Knight and Alexander Mentzer at contact@combat.ox.ac.uk.

  Dataset EGAD00001007932

• Target pilot trial

  In vitro and in vivo drug screens of tumor cells identify novel therapies for high-risk child cancer

  Dataset EGAD00001008358

• RNA-seq

  This dataset contains the raw sequencing data (Runs) for all 10x Genomics single-cell RNA-seq Experiments.

  Dataset EGAD00001009823

• Raw data for "Spatial and temporal transcriptomics of medulloblastoma with chromothripsis identifies multiple genetic clones that resist to treatment and lead to relapse"

  FASTQ files from Illumina sequencing of 10x Visium experiments.

  Dataset EGAD00001010260

• Covacta RNAseq counts

  RNA-seq data from PAXgene extracted whole blood of patients enrolled in the COVACTA trial. This dataset includes read counts per gene. Read counts were generated for the Gencode v27 annotation using the summarize Overlaps method from bioC in mode “IntersectionStrict”

  Dataset EGAD00001011164

• A single-cell atlas of meningioma.

  In this study, we examined the breadth of cell types and states in meningioma using the largest single-cell cohort of meningioma by generating more than 7.5 million total cells from meningioma and surrounding dura, profiled using single-nuclear RNA sequencing and high-resolution spatial transcriptomics.

  Study EGAS50000001589

• A clinically and genomically annotated Early onset colorectal cancer and late onset colorectal cancer

  This study aimed to identify genomic characteristics of early-onset colorectal cancer (EOCRC) compared to late-onset cases. Whole-genome sequencing (WGS) was performed on EOCRC and late-onset colorectal cancer (LOCRC) tissues and blood samples to analyze their genomic profiles.

  Study EGAS50000000544

• Single nucleus mRNA sequencing of immune cells from diverse CNS regions in human health and diseases

  CNS nuclei were isolated from frozen specimen, stained with anti-NeuN and anti-Olig2, FACS purified (DAPI+NeuN-Olig2-), and analyzed with single nucleus RNA-seq. One batch of samples was also labelled with CMO and allows distinguishing indivudal samples within the analysis. A combined seurat object was generated to include all the analyses and samples were integrated using Harmony integration.

  Dataset EGAD50000001835

• Long-read single-cell RNA-seq in COVID-19

  We report the first application of long-read single-cell RNA sequencing on nasopharyngeal swabs from COVID-19 patients and healthy controls to resolve transcript-level changes across cell types. Samples were collected from three patients with moderate COVID-19, six patients with critical COVID-19, and three healthy controls. Single-cell libraries were generated using the 10x Genomics Chromium 3' protocol, producing unfragmented cDNA. Libraries were sequenced on the Oxford Nanopore Technologies PromethION platform. Basecalling was performed with Guppy (v1.6), generating a single FASTQ file per sample.

  Dataset EGAD50000001836

• RNAseq data from 112 samples of benign or malignant ovarian tumours

  This dataset contains ~1.2 TB RNA sequencing data in fastq format from 112 samples of fresh-frozen ovarian tumours from a total of 111 women, two samples being replicates. The samples were collected from the U-CAN collection at Uppsala Biobank and include both benign (n = 18) and malignant (n = 94) tumours. The RNA sequencing samples were sequenced using paired-end sequencing (2x150 bp) on an Illumina NovaSeq 6000 instrument at the SciLifeLab National Genomics Infrastructure (NGI) in Uppsala.

  Dataset EGAD50000001521

• RNA-seq from Glioblastoma treated with Indisulam

  The dataset includes RNA-sequencing results from four patient-derived glioblastoma cell lines treated with DMSO (vehicle control) or the splicing modulating-drug indisulam (at 6 and 16 hours), resulting in 12 RNA-seq samples. Paired-end sequencing produced 24 FASTQ.gz files. The RNA libraries were prepared using PolyA selection and ERCC spike-ins and sequenced on a NovaSeq platform. This dataset supports the analysis of drug-induced transcriptomic changes and the prediction of subsequent non-canonical tumor-specific antigens (ncTSAs) using the NovumRNA pipeline.

  Dataset EGAD50000000957

• Nurminen et al ("GP2Men") Study Primary and Metastatic Prostate Cancer Whole Genome Sequence Data

  We used novel processing techniques to obtain whole genome data together with 3D anatomic and histomorphologic analysis in two men (GP5 and GP12) with high risk PrCa undergoing radical prostatectomy. A total of 22 whole genome-sequenced sites (16 primary cancer foci and 6 lymph node metastatic) were analyzed using evolutionary reconstruction tools and spatio-evolutionary models. Probability models were used to trace spatial and chronological origins of the primary tumor and metastases, chart their genetic drivers, and distinguish metastatic and non-metastatic subclones.

  Dataset EGAD50000000005

• MassArray1-80

  234 samples genotyped at 40 loci using the MassArrayiPLEX genotyping assay using the iPLEX Gold genotyping kit (Agena Biosciences, cat. 10148-2) Gabriel et al. (2009) [Gabriel, S. , Ziaugra, L. and Tabbaa, D. (2009), SNP Genotyping Using the Sequenom MassARRAY iPLEX Platform. Current Protocols in Human Genetics, 60: 2.12.1-2.12.18. doi:10.1002/0471142905.hg0212s60]). Products were detected on a MassArray mass spectrophotometer and data were acquired in real time with MassArray RT software 4.0.0.2 (Agena Biosciences). SNP clustering and validation was carried out with Typer 4.0.26.75 software (Agena Biosciences).

  Dataset EGAD00010001906

• lebanon

  Genotype data from Chad, Lebanon, and Yemen

  Dataset EGAD00010001102

• RNA sequencing data of pediatric ETV6::RUNX1 acute lymphoblastic leukemia (set 2)

  The dataset includes RNA sequencing FASTQ files from diagnostic tumor samples of four ETV6::RUNX1 patients (ALLT-388, ALLT-392, ALLT-394, ALLK-114) and from a second relapse sample of one ETV6::RUNX1 patient (ALLK-104). TruSeq Stranded Total RNA Library Prep (Illumina) kit was used in library preparation, and Novogene's internal method was utilized in rRNA removal. The diagnostic and relapse tumor samples were sequenced using Illumina Novaseq 6000, and the target sequencing depth was 21 Gb per sample.

  Dataset EGAD50000002589

• Multiplexed quantification of four neuroblastoma DNA targets in a single droplet digital PCR reaction

  Evaluation of quadruplex ddPCR-based copy number assessment in blood plasma samples paired with genomic DNA from the corresponding primary neuroblastoma from three patients and comparison with copy numbers determined by duplex and triplex ddPCR and re-analyzed from whole-exome sequencing (WES) data.

  Study EGAS00001004275

• Congenital mesoblastic nephroma and infantile fibrosarcoma

  The genetic basis of many rare childhood cancers remains unknown. These include a spectrum of infant soft tissue tumors without canonical gene fusions, encompassing congenital mesoblastic nephroma (CMN) of the kidney and infantile fibrosarcoma (IFS). Here, we integrated whole genome and transcriptome sequencing and identified diagnostic markers and novel therapeutic strategies.

  Dataset EGAD00001003885