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• Genome and transcriptome sequence data from a metastatic adenocarcinoma of unknown primary (upper GI?) patient

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of unknown primary (upper GI?) patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005837

• Genome and transcriptome sequence data from a metastatic adenocarcinoma of the GE junction patient

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the GE junction patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002595

• Genome and transcriptome sequence data from a metastatic squamous cell carcinoma of the lung patient

  Genome and transcriptome sequence data from a metastatic squamous cell carcinoma of the lung patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005850

• Pre-clinical evolution of haematological malignancies_TGS

  Leukaemia and related blood cancers occur due to genetic changes that typically accumulate over many years. This study will employ targeted next-generation sequencing to retrace the preclinical evolution of several types of haematological malignancy. Investigating the progression of the earliest pre-malignant ancestral clones promises to offer valuable insights into early leukaemia evolution and therapeutic vulnerabilities of leukaemia stem cells.

  Dataset EGAD00001006424

• Genome and transcriptome sequence data from an invasive ductal carcinoma of left breast patient

  Genome and transcriptome sequence data from an invasive ductal carcinoma of left breast patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002601

• Genome and transcriptome sequence data from a metastatic adenocarcinoma of the salivary gland patient

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the salivary gland patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010992

• Genome and transcriptome sequence data from a poorly differentiated adenocarcinoma of the pancreas patient

  Genome and transcriptome sequence data from a poorly differentiated adenocarcinoma of the pancreas patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001011006

• Genome and transcriptome sequence data from a carcinoma of left lower outer quadrant patient

  Genome and transcriptome sequence data from a carcinoma of left lower outer quadrant patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002579

• Genome and transcriptome sequence data from a squamous cell carcinoma of anal canal patient

  Genome and transcriptome sequence data from a squamous cell carcinoma of anal canal patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002582

• Transcriptomic Profile of Colorectal Cancer Samples

  Samples encompass primary colorectal tumors or metastasis of 75 patients, collected by Medical Pathologists from surgically removed specimens. Tissues were embedded in optimal cutting temperature (OCT) medium, snapshot frozen in liquid nitrogen within 40 minutes of collection and preserved at -80ºC. Samples were collected between June 2010 and October 2017 as part of a prospective biobanking project.

  Dataset EGAD00001009506

• RNA-seq from in vivo experiments

  RNA sequencing from 12 xenografts implanted using MSTO-211H cell line and treated with vehicle solution, cisplatin + pemetrexed, or palbociclib (N = 4, each). RNA-seq prepared using TruSeq Stranded mRNA libraries and sequenced with Illumina HiSeq 4000. Data is in raw fastq format, paired end. Some samples have been split in two lanes, with a final count of 34 fastq files.

  Dataset EGAD00001007739

• Reference alignment files (BAM) and gene count files of 10 tumor samples from nanopore sequencing

  Reads were aligned to 1000 Genomes assembly reference (hs37d5) using minimap2 2.22. SAM-to-BAM conversion, BAM sorting and indexing were performed with SAMtools 1.13. Read summarization was performed with featureCounts (from Subread 2.0.3) over exon features based on GENCODE Version 19 gene models. Strand specific counting was used.

  Dataset EGAD00001009690

• DETECT-A NGS Data Batch 3

  This batch is a subset of the full DETECT-A dataset, containing 29294 fastq files generated from 3653 subjects. All sequencing was conducted using Illumina HiSeq 4000 and Illumina MiSeq platforms. Note that the division into batches follows no specific criteria and that the sequencing data for each subject has multiple files which may span multiple datasets. Thus, for a comprehensive analysis, it is recommended to request access to all datasets that comprise this study.

  Dataset EGAD00001008597

• Cancer initiation organoids BAM files

  This dataset contains whole-genome sequencing data files from colon organoid cultures, which were mutated using CRISPR-Cas9 for specific genes (APC, KRAS, TP53 and SMAD4) to generate in vitro transformed cancer cells. After introducing each mutation, the resulting cultures were subjected to whole-genome sequencing. In addition, some cultures were xenotransplanted in recipient mice. The resulting primary tumors and corresponding metastases were subjected to whole-genome sequencing.

  Dataset EGAD00001002719

• Genome and transcriptome sequence data from a metastatic ovarian sex cord stromal tumour patient

  Genome and transcriptome sequence data from a metastatic ovarian sex cord stromal tumour patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010975

• Stage-specific gene and transcript dynamics in human male germ cells

  To study global transcriptional dynamics during human spermatogenesis we sequenced total RNA of human testicular biopsies with 5 specific histological phenotypes: Sertoli cell-only (SCO, n=3), spermatogenic arrests at the spermatogonial (SPG, n=4), spermatocyte (SPC, n=3), and spermatid (SPD, n=3) level, as well as normal spermatogenesis (Normal, n=3).

  Dataset EGAD00001008652

• DETECT-A NGS Data Batch 2

  This batch is a subset of the full DETECT-A dataset, containing 498 fastq files generated from 71 subjects. All sequencing was conducted using Illumina HiSeq 4000 and Illumina MiSeq platforms. Note that the division into batches follows no specific criteria and that the sequencing data for each subject has multiple files which may span multiple datasets. Thus, for a comprehensive analysis, it is recommended to request access to all datasets that comprise this study.

  Dataset EGAD00001008591

• Genome and transcriptome sequence data from a poorly differentiated adenocarcinoma more consistent with metastatic melanoma patient

  Genome and transcriptome sequence data from a poorly differentiated adenocarcinoma more consistent with metastatic melanoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005831

• Single-cell multi-omics data of human gliomas

  We profiled CD45- enriched, viable cells from GBM (n = 7) and IDH-MUT (n = 7) primary samples with multi-modality single-cell sequencing of scDNAme (by reduced representation bisulfite sequencing [RRBS]) and scRNAseq (Smart-seq2).

  Dataset EGAD00001009694

• Human Biofluid RNA Atlas

  This dataset contains small RNA sequencing data and mRNA capture sequencing data from 20 different human biofluids (amniotic fluid, aqueous humor, ascites, bile, bronchial lavage fluid, breast milk, cerebrospinal fluid, colostrum, gastric fluid, pancreatic cyst fluid, plasma, saliva, seminal fluid, serum, sputum, stool, synovial fluid, sweat, tear fluid and urine). In total, 180 samples were sequenced. Files are provided in fastQ format. Samples were sequenced on a NextSeq 500.

  Dataset EGAD00001005439

• MDS primary and xenografted samples treated with LOXL inhibitor

  This dataset contains bam files mapped to hg19 (exome and panel) or hg38 (RNA) that either were primary bone marrow cells or sorted human cells after long term engraftment in NSG mice treated with LOXL inhibitor

  Dataset EGAD00001008695

• scRNA-seq, WES, and bulk RNA-seq on longitudinal samples from 7 Lymphoma patients treated with CD20xCD3 bispecific antibodies

  We performed scRNA-seq on 15 fresh lymph node core biopsies from 7 Lymphoma patients treated with CD20xCD3 bispecific antibodies. We also performed whole-exome sequencing (WES) and bulk RNA-seq on formalin-fixed paraffin embedded (FFPE) tumor samples from these patients. WES was additionally performed on matched germline samples (blood) for each patient.

  Dataset EGAD00001011350

• Genome and transcriptome sequence data from an adnexal tumor probable of Wolffian origin patient

  Genome and transcriptome sequence data from an adnexal tumor probable of Wolffian origin patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002600

• Genome and transcriptome sequence data from an adenoid cystic carcinoma of the trachea patient

  Genome and transcriptome sequence data from an adenoid cystic carcinoma of the trachea patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002627

• Whole-exome sequencing of BCP HD ALL on Illumina HiSeq 2000, 100 bp paired-end

  Genomic DNA from leukemic and remission bone marrow mononuclear cells was isolated with the QIAamp DNA Blood Extraction Kit (Qiagen, Venlo, The Netherlands). Libraries were prepared with the Illumina TruSeq DNA Sample Prep and TruSeq Exome Enrichment Kits (Illumina, San Diego, CA, USA) according to the manufacturer's recommendations. 100 bp paired-end sequencing was performed on a HiSeq 2000 (Illumina) to about 80x coverage.

  Dataset EGAD00001002653

• Genome and transcriptome sequence data from a hematopoietic or lymphoreticular systems myeloma-multiple patient

  Genome and transcriptome sequence data from a hematopoietic or lymphoreticular systems myeloma-multiple patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001008944

• RNAseq of primary mesothelioma cell lines

  Mesothelioma is an aggressive cancer associated with previous exposure to asbestos and dismal prognosis. Since a pemetrexed/cisplatin combination was introduced for treatment of mesothelioma, no new first- or second-line therapies have been discovered. Thus, to better understand what drives mesothelioma carcinogenesis and to identify potential targets for therapy, in this project we aim at performing RNAseq analysis of a panel of mesothelioma cells lines.

  Dataset EGAD00001010924

• Whole-genome and transcriptome sequencing files obtained in monozygotic twins discordant for Mayer-Rokitansky-Küster-Hauser syndrome

  Raw, unfiltered, paired-end fastq files obtained through whole-genome and RNA-sequencing, respectively. RNA-seq of affected individuals in three twin pairs. WGS of blood in five twin pairs as well as uterine rudiment tissue of selected affected individuals.

  Dataset EGAD00001008992

• Methylation profiling by MCC-Seq of visceral fat (N=199) and whole-blood (N=206) derived from IUCPQ participants

  The study includes NGS-based methylC-capture sequencing (MCC-Seq) on 199 visceral adipose tissue and 206 whole-blood DNA samples derived from obese individuals (BMI >40 kg m-2) in the IUCPQ cohort. We generated 100bp paired-end reads using the Illumina HiSeq2000 or 2500 systems.

  Dataset EGAD00001004787

• Genome and transcriptome sequence data from a metastatic clear cell carcinoma of the ovary patient

  Genome and transcriptome sequence data from a metastatic clear cell carcinoma of the ovary patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005906

• RNAseq of primary mesothelioma cell lines

  Mesothelioma is an aggressive cancer associated with previous exposure to asbestos and dismal prognosis. Since a pemetrexed/cisplatin combination was introduced for treatment of mesothelioma, no new first- or second-line therapies have been discovered. Thus, to better understand what drives mesothelioma carcinogenesis and to identify potential targets for therapy, in this project we aim at performing RNAseq analysis of a panel of mesothelioma cells lines.

  Dataset EGAD00001009642

• 110 "KOREAN" never-smoker female adenocarcinoma RNA-seq

  All sequencing was performed within the DNAlink (Korea) by using the Solexa sequencing technology (Illumina, San Diego, CA). mRNA was isolated from total RNA using poly-T oligo-attached magnetic beads and was fragmented with fragmentation buffer to an average size of 300 bp. The libraries were prepared by using TruSeq RNA Library Prep Kit v2 (Illumina) and were sequenced on the Illumina HiSeq2000 using the manufacturer’s recommended protocols

  Dataset EGAD00001005358

• Genome and transcriptome sequence data from an infiltrating ductal carcinoma of right breast patient

  Genome and transcriptome sequence data from an infiltrating ductal carcinoma of right breast patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002572

• Genome and transcriptome sequence data from a metastatic squamous cell carcinoma of the esophagus patient

  Genome and transcriptome sequence data from a metastatic squamous cell carcinoma of the esophagus patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005835

• DETECT-A NGS Data Batch 5

  This batch is a subset of the full DETECT-A dataset, containing 12740 fastq files generated from 3211 subjects. All sequencing was conducted using Illumina HiSeq 4000 and Illumina MiSeq platforms. Note that the division into batches follows no specific criteria and that the sequencing data for each subject has multiple files which may span multiple datasets. Thus, for a comprehensive analysis, it is recommended to request access to all datasets that comprise this study.

  Dataset EGAD00001015426

• Dataset-linking-WGS-samples-in-ega-box-81-via-README-for-study-EGAS00001002923

  This dataset contains 318 Tumor and Control WGS files submitted in another EGA box for samples for Gerhauser et al.,Cancer Cell, 2018, 34:996-1011. WGS and sequencing protocol was earlier described in Weischenfeldt et al, Cancer Cell, 2013.

  Dataset EGAD00001007861

• Genome and transcriptome sequence data from a metastatic adenoid cystic carcinoma of the breast patient

  Genome and transcriptome sequence data from a metastatic adenoid cystic carcinoma of the breast patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004921

• Genome and transcriptome sequence data from a metastatic lymphoepithelial carcinoma of the parotid gland patient

  Genome and transcriptome sequence data from a metastatic lymphoepithelial carcinoma of the parotid gland patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010993

• Genome and transcriptome sequence data from a primary unknown- upper GI or pulmonary patient

  Genome and transcriptome sequence data from a primary unknown- upper GI or pulmonary patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005827

• Genome and transcriptome sequence data from a transformed diffuse large B cell lymphoma patient

  Genome and transcriptome sequence data from a transformed diffuse large B cell lymphoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001005869

• Whole Genome Sequencing of Therapy-Related Myeloid Neoplasms

  The dataset consists of: 51 paired tumor/normal WGS samples (26 tumors and 25 normals), and 13 normal targeted samples.

  Dataset EGAD00001010026

• Sequencing data for oesophageal and related samples - Nowicki-Osuch, Zhuang et al (scRNA)

  Data supporting: “Single-cell RNA sequencing unifies developmental programs of Esophageal and Gastric Intestinal Metaplasia.” Nowicki-Osuch, Zhuang et al. scRNAseq (FASTQ files) 59 samples

  Dataset EGAD00001010074

• Genome and transcriptome sequence data from a metastatic large cell neuroendocrine carcinoma likely of lung origin patient

  Genome and transcriptome sequence data from a metastatic large cell neuroendocrine carcinoma likely of lung origin patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001010979

• Genome and transcriptome sequence data from a squamous cell carcinoma of the alveolar ridge patient

  Genome and transcriptome sequence data from a squamous cell carcinoma of the alveolar ridge patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004934

• Whole Genome Sequencing of Head and Neck Angiosarcoma

  This dataset contains 55 Whole Genome Sequencing of the study titled Spatial transcriptomics reveal topological immune landscapes of Asian head and neck angiosarcoma.

  Dataset EGAD00001010140

• Whole exome and RNA sequencing data from the OXIRI phase 1b clinical trial in Asian pancreatic ductal adenocarcinoma (PDAC) patients

  This dataset contains 8 samples, each of which has paired-end WXS fastq files for Tumour and Normal samples, as well as RNA-Seq fastq file.

  Dataset EGAD00001008632

• Genome and transcriptome sequence data from a poorly differentiated chordoma of C1-C2 spine patient

  Genome and transcriptome sequence data from a poorly differentiated chordoma of C1-C2 spine patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001008012

• Genomic abnormalities of TP53 define distinct risk groups of paediatric B-cell non-Hodgkin lymphoma

  Whole exome sequencing data from 90 diagnostic lymphoma samples run and published as part of the Leukemia manuscript. 133 total exomes were sequenced including tumour and normal controls. Copy number array data was also generated for 95 patients.

  Dataset EGAD00001008162

• Unifying recovery dynamics in heterogeneous diseases exemplified by COVID-19

  To model recovery dynamics, using severe COVID-19 as the example, we align heterogeneous recovery trajectories via a novel computational scheme applied to longitudinally sampled blood transcriptomes. We thus generate pseudotime trajectories, which we then link to cellular and molecular mechanisms based on cell deconvolution analysis and molecular pathway prediction, thus presenting a unique framework for studying recovery processes over time.

  Dataset EGAD00001008331

• DETECT-A NGS Data Batch 1

  This batch is a subset of the full DETECT-A dataset, containing 43963 fastq files generated from 3024 subjects. All sequencing was conducted using Illumina HiSeq 4000 and Illumina MiSeq platforms. Note that the division into batches follows no specific criteria and that the sequencing data for each subject has multiple files which may span multiple datasets. Thus, for a comprehensive analysis, it is recommended to request access to all datasets that comprise this study.

  Dataset EGAD00001008415