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• Reference epigenome KNIH001 mRNA-seq data generated from KEP study

  A KNIH001 mRNA-seq paired end data for islet cells

  Dataset EGAD00001002167

• Reference epigenome KNIH002 mRNA-seq data generated from KEP study

  A KNIH002 mRNA-seq paired end data for islet cells

  Dataset EGAD00001002168

• Reference epigenome KNIH003 mRNA-seq data generated from KEP study

  A KNIH003 mRNA-seq paired end data for islet cells

  Dataset EGAD00001002169

• Reference epigenome KNIH004 mRNA-seq data generated from KEP study

  A KNIH004 mRNA-seq paired end data for islet cells

  Dataset EGAD00001002170

• Reference epigenome KNIH005 mRNA-seq data generated from KEP study

  A KNIH005 mRNA-seq paired end data for islet cells

  Dataset EGAD00001002171

• Reference epigenome KNIH006 mRNA-seq data generated from KEP study

  A KNIH006 mRNA-seq paired end data for beta cells

  Dataset EGAD00001002172

• Exome

  Exome Seq for Study EGAS00001001844

  Dataset EGAD00001002159

• ATAC-Seq of human stimulated and cultured CD4+ Treg cells

  This dataset includes whole genome sequence data for ATAC-seq (42 samples) of human stimulated and cultured CD4+ Treg cells.

  Dataset EGAD00001004829

• Reference epigenome KNIH001 miRNA-seq data generated from KEP study

  A KNIH001 miRNA-seq single end data for islet cells

  Dataset EGAD00001002760

• Reference epigenome KNIH002 miRNA-seq data generated from KEP study

  A KNIH002 miRNA-seq single end data for islet cells

  Dataset EGAD00001002761

• Reference epigenome KNIH003 miRNA-seq data generated from KEP study

  A KNIH003 miRNA-seq single end data for islet cells

  Dataset EGAD00001002762

• Reference epigenome KNIH004 miRNA-seq data generated from KEP study

  A KNIH004 miRNA-seq single end data for islet cells

  Dataset EGAD00001002763

• Reference epigenome KNIH005 miRNA-seq data generated from KEP study

  A KNIH005 miRNA-seq single end data for islet cells

  Dataset EGAD00001002764

• Reference epigenome KNIH006 miRNA-seq data generated from KEP study

  A KNIH006 miRNA-seq single end data for beta cells

  Dataset EGAD00001002765

• Melanoma - Exome sequencing

  whole exome sequencing of tumor- as well as PBMC-derived DNA of five melanoma patients for identification of naturally presented patient-specific neoepitopes

  Dataset EGAD00001002731

• Leeds Paired Primary and Recurrent GBM RNAseq

  Whole transcriptome, strand-directional RNAseq data for paired primary dn recurrent samples from patients with glioblastoma

  Dataset EGAD00001005224

• Clinical data

  Clinical data for KATHERINE: Clinical data include Treatment Arm, Invasive Disease Free Survival (IDFS), Clinical Stage at Presentation, Hormone Receptor Status, Preoperative HER2 Directed Therapy, Pathological Node.

  Dataset EGAD00001008785

• Reconstructed BCRs

  Computationally reconstructed B-cell receptor sequences (using BraCeR) from scRNA-seq data for all cells passing quality control.

  Dataset EGAD00001008456

• TLR7 variants in human lupus patients

  Set of 2 bam files from patients affected with Lupus. Fastq alignments for exonic variants present in TLR7 gene.

  Dataset EGAD00001008534

• WES data for HCC patients from Y90+Nivolumab trial

  This dataset includes WES fastq files of pre-treatment and on-treatment samples from 29 patients

  Dataset EGAD00001010133

• ITS amplicon sequencing dataset

  This dataset contains raw ITS amplicon sequencing data for 719 sputum samples from individuals in Guangdong province, China.

  Dataset EGAD00001009817

• Temporal and Clonal Progression in Pediatric Ependymoma

  Whole genome and exome-based DNA sequencing of germline and tumor specimens from serial samples of a single patient's ependymoma. The findings reveal the extent to which treatment with radiation and chemotherapies resulted in the diversification of the tumor subclonal architecture and shaped the neo-antigen landscape, and provide new insights into possible molecular mechanisms of oncogenesis, treatment response and recurrence.

  Study phs001461

• RNA-seq of STIC lesions and adjacent normal samples

  In this study, we characterize premalignant lesions of the fallopian tube (serous tubal intraepithelial carcinomas) to explore the earliest events of tumorigenesis following mutation of the TP53 tumor suppressor gene. We conduct laser capture microdissection to isolate premalignant cells from adjacent normal cells, and subject isolated tissues to RNA-seq. Our findings reveal the earliest transcriptional changes established during premalignancy within the fallopian tube.

  Study EGAS50000000200

• POT1_splice_site_mutant_analysis

  We are interested in the contribution mutations in the Shelterin complex protein POT1 may have to the development of melanoma. We have identified a patient who carries a splice site mutation in POT1 and as part of our analysis of this gene we aim to sequence the transcriptome of this patient to see how this mutation influences splicing. RNA has been obtained from lymphocytes collected from the patient.

  Study EGAS00001000571

• Somatic_mutation_and_clonal_evolution_in_the_human_bladder_Novaseq

  In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The data in this study will be generated by whole-genome sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer.

  Study EGAS00001003433

• Clonal architecture and genomic features of smoking versus non-smoking oncogene-driven East-Asian non-small cell lung cancer

  Unlike smoking-related non-small cell lung cancers (NSCLC), oncogene-driven tumors are characterized by low mutational burdens and complex genomic landscapes. However, the clonal architecture and genomic landscape of the oncogene-driven tumors in smokers remains unknown. Here, we investigate the impact of tobacco smoking on the genomic and transcriptomic alterations in the context of oncogene-driven NSCLC.

  Study EGAS00001006942

• WNT-signaling and Dupuytren's Disease

  The EGA hosts the summary genotype results of the GWAS in 856 patients with Dupuytren's disease and 2,836 population based controls from 'LifeLines' cohort study

  Study EGAS00000000043

• SCANDARE ovarian

  Prospective biobanking study in ovarian cancer patients aiming at better understand the link between the molecular alterations of the tumor itself, its microenvironment and immune response.

  Study EGAS50000001161

• ESGI___Whole_Genome_Sequencing_of_samples_from_the_INGI_Val_Borbera_genetic_isolate__X10_

  Whole genome sequencing of sampels from an isolated population from the Val Borbera valley in Italy. The samples are sequenced using the Illumina HiSeq X Ten system.

  Study EGAS00001001123

• Single-Cell Genomic Analysis of Gastrointestinal Cancer

  Our study aimed to define the heterogeneity of gastrointestinal cancers at a single-cell resolution. We subjected single-cell suspensions derived from surgical resections of gastrointestinal cancer tissue, paired normal tissue, peripheral blood mononuclear cells (PBMCs) or their ex vivo cultures to high-throughput microfluidics based single-cell RNA and DNA sequencing. We analyzed the features of the tumor microenvironment including fibroblasts, endothelial cells, macrophages and lymphocytes to determine their contribution to tumor growth and progression. We also characterized the mechanisms of immunosuppression in these tumors. This analysis led to novel insights into the biology of the microenvironment and also enabled the identification of new treatment targets.

  Study phs001818

• Whole-genome variant calling of individuals from the study of allergic diseases in the Canary Islands

  Research study of genetic susceptibility and analyses of polygenic risk scores in allergic diseases. The historic influences in the Canary Islanders have resulted in an admixture of European, North Africans and Sub-saharan African genetic ancestries. Genetic risks linked to any of these ancestries could underlie disease peculiarities in the current inhabitants. To leverage genectic ancestry to identify and assess genetic risks in allergic diseases in the Canary Islands, we combine different genomic technologies in case-control studies and reference samples from the three parental populations to characterize and identify genetic risks factors and the intersection with ancestry.

  Study EGAS50000000299

• RNA profiles of human placentas

  This DAC addresses the control of the access to the RNA-seq of the human placentas. It covers the project "Decoding human placental cellular and molecular responses to maternal obesity and fetal growth"

  Dac EGAC50000000505

• Data Access Committee for Deciphering Developmental Disorders (DDD) Project

  Dac EGAC00001000282

• Low coverage whole genome sequencing form CSF-derived cell free DNA

  Low coverage whole genome sequencing form CSF-derived cell free DNA for matching samples with EM-seq cohort

  Dataset EGAD50000002148

• Picuris Pueblo Genomic Project – Ancient Dataset

  Ancient individual from Picuris Pueblo. Please refer to paper for more information.

  Dataset EGAD50000001246

• WES PTCL Data

  Whole Exome Sequencing (WES) of 153 FFPE DNA samples of Peripheral T-Cell Lymphoma. Associated with "Molecular biomarkers for stratification periheral T cell lymphoma" study.

  Dataset EGAD50000001250

• APOBEC Breast Cancer Whole Genome

  Five tumor-normal human breast cancer cases driven by APOBEC mutagenesis, including normal tissue, primary, and metastatic samples for each patient.

  Dataset EGAD50000001275

• SMPaeds PanelSeq of cfDNA at relapse with UMIs

  Deep sequencing of a targeted panel of 67 paediatric cancer related genes for cfDNA with UMIs at approximately 1500xUMI coverage.

  Dataset EGAD50000000781

• RNA-seq of murine osteosarcoma cell line genetically modified for CYR61

  Transcriptomic analysis of K7M2 murine osteosarcoma cells stably modified to overexpress or repress CYR61

  Dataset EGAD50000000747

• Single Cell RNA-Seq

  Examination of Sample Multiplexing Reagents for Single Cell RNA-Seq. Nine techniques applied to samples from four PDX models: #105, #177, #233, #264

  Dataset EGAD50000000216

• SAFIR02_Cytoscan

  Genomics to select patients with metastatic breast cancer for targeted therapy (microarray_cytoscan)

  Dataset EGAD00010002239

• Dataset for desmoplastic small round cell tumor array data

  This dataset contains 24 methylation array samples of patients with desmoplastic small round cell tumor measured on Illumina 850k.

  Dataset EGAD00010002689

• SNParray_PGT_samples_scGBS

  PGT samples for haplotyping and copy-number profiling via SNP array

  Dataset EGAD00010002169

• SNParray_HapMap_samples_scGBS

  HapMap samples for haplotyping and copy-number profiling via SNP array

  Dataset EGAD00010002168

• Batch2_Genotypes_Raw

  Genotypes generated for Puno cohort Batch 2. Case (PRE) and control (PUN) families were recruited in hospital. Raw genotypes no QC. Includes unrelated genotyping controls (HG).

  Dataset EGAD00010002124

• GR@ACE_StageI.v02

  Binary Plink files for post-GWAS quality control in 7409 samples genotyped using Axiom 815K Spanish Biobank array (Thermo Fisher)

  Dataset EGAD00010001653

• Copy Number Arrays for study EGAS00001004165

  Copy Number Alterations arrays from 153 samples performed by Affymetrix 6.0 and Oncoscan CNV platforms

  Dataset EGAD00010001841

• Whole genome sequencing of 63 single cells isolated from bone marrow aspirates of six non-metastatic breast cancer patients after staining for disseminated tumor cells.

  Dataset EGAD00001002745

• DAC for "Multimodal plasma and urinary cell-free DNA profiling improves risk stratification in newly diagnosed prostate cancer" with Dr. Anja Lisa Riediger(a.riediger@dkfz-heidelberg.de) and PD Dr. Magdalena Görtz(magdalena.goertz@dkfz-heidelberg.de)

  Dac EGAC00001003576

• Reference epigenome DB31_N_Alpha_mRNA-Seq data generated from KEP study

  A DB31_N_Alpha_mRNA-Seq paired end data for alpha cells(PSA-NCAM(-), pancreas)

  Dataset EGAD00001003485

• Reference epigenome DB31_N_Alpha_smRNA-Seq data generated from KEP study

  A DB31_N_Alpha_smRNA-Seq single end data for alpha cells(PSA-NCAM(-), pancreas)

  Dataset EGAD00001003494

• RNA-Seq Single End

  RNA analysis of six patients 34, 35, 36, 37, 38 and 39 with WGS done on Illumina HiSeq2500. For research purpose and authorised user only.

  Dataset EGAD00001003430

• Reference epigenome ADMSC01_smRNA-Seq data generated from KEP study

  A ADMSC01_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003867

• Reference epigenome ADMSC02_smRNA-Seq data generated from KEP study

  A ADMSC02_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003868

• Reference epigenome ADMSC03_smRNA-Seq data generated from KEP study

  A ADMSC03_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003869

• Reference epigenome KNIH005 WGBS data generated from KEP study

  A KNIH005 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for islet cells

  Dataset EGAD00001002753

• Reference epigenome KNIH006 WGBS data generated from KEP study

  A KNIH006 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for beta cells

  Dataset EGAD00001002754

• Reference epigenome KNIH007 WGBS data generated from KEP study

  A KNIH007 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for adipocytes

  Dataset EGAD00001002755

• Reference epigenome KNIH009 WGBS data generated from KEP study

  A KNIH009 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for preadipocytes

  Dataset EGAD00001002757

• Reference epigenome KNIH001 WGBS data generated from KEP study

  A KNIH001 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for islet cells

  Dataset EGAD00001002749

• Reference epigenome KNIH002 WGBS data generated from KEP study

  A KNIH002 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for islet cells

  Dataset EGAD00001002750

• Reference epigenome KNIH003 WGBS data generated from KEP study

  A KNIH003 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for islet cells

  Dataset EGAD00001002751

• Reference epigenome KNIH004 WGBS data generated from KEP study

  A KNIH004 Whole-Genome Bisulfite Sequencing(WGBS) paired end data for islet cells

  Dataset EGAD00001002752

• Neoantigen study samples for prostate cancer

  Whole exome sequencing and RNA sequencing data from 30 patients with prostate cancer.

  Dataset EGAD00001005713

• Hyperpolarized 13C MRI in breast cancer

  Transcriptomics for samples obtained from six patients (MBR01, MBR03, MBR05, MBR07, MBR10, MBR11)

  Dataset EGAD00001005760

• Glioblastoma stem cell lines RNA-seq

  RNA-seq data for three Glioblastoma stem cell (GSC) lines exposed to PRMT5 inhibitor and control samples.

  Dataset EGAD00001006095

• Single-nucleus RNA-sequencing of meningiomas

  Single-nucleus RNA-sequencing of meningiomas for integrative molecular classification

  Dataset EGAD00001007677

• Biomarker data

  Biomarker data for KATHERINE: Biomarker data include RNA-seq time point, Percent of tumor content, PAM50 subtypes, normalized gene expression of ERBB2, CD8 and CD274, normalized immune signature expression.

  Dataset EGAD00001008786

• KCL PRECSION lpWGS

  KCL lpWGS samples for copy number analysis

  Dataset EGAD00001008380

• liCHi-C Samples of B-ALL

  Libraries of liCHi-C for 2 B-ALL (B Acute Lymphocytic Leukaemia) from human patients. Fastq file format.

  Dataset EGAD00001008829

• 7 samples RNA-seq raw data

  Dataset comprising raw paired RNA-seq data in fastq.gz format for 7 samples of rosette forming brain tumors

  Dataset EGAD00001009265

• Hi-C of cohesin-mutated and wildtype adult AMLs

  High-throughput chromosome conformation capture (Hi-C) data generated for cohesin-mutated (STAG2 or RAD21) and cohesin-wildtype AMLs.

  Dataset EGAD00001011198

• SCANDARE TNBC

  Prospective biobanking study in breast patients aiming at better understand the link between the molecular alterations of the tumor itself, its microenvironment and immune response.

  Study EGAS50000000970

• scRaCH-seq fastq files

  We base called the raw data of nanopore sequencing using the Guppy software (v3.1.5) with “dna_r9.4.1_450bps_sup_prom.cfg” configuration. The passed reads (Qscore > 9) are deposited in this EGA study.

  Study EGAS50000000165

• Ovarian cancer sample size analysis

  The dataset contains exome sequencing fastq from 5 ovarian cancer patients, paired with tumor normal blood samples. Three tumor samples were sequenced from each patient: a biopsy sample ("-1" suffix in the file name), a local sample (multiple regions around the biopsy pooled together, with the "-2" suffix in the file name), and a global sample (multiple regions from the tumor pooled together, with a "-3" suffix in the file name).

  Dataset EGAD00001005947

• human placenta derived trophoblast organoids expression changes by co-culturing with adipose spheroids

  This dataset includes the Prime-seq raw sequencing data of the 3 replicates of trophoblast organoids co-cultured with adipose spheroids and 3 without adipos spheorids. The libraries were generated according to the published Prime-seq library preparation protocol, and were multiplexed with all the samples from the experiment. The libraries were sequenced on Illumina NovaSeq 6000 at Novogene. The files are paired fastq files.

  Dataset EGAD50000001223

• Radiotherapy_induced_Sarcoma_exome

  Whole exome library making will be performed on genomic DNA derived from radiotherapy induced sarcoma samples and matched normal DNA from the same patients. Next Generation sequencing will be performed on the resulting libraries and mapped to build 37 of the human reference genome to facilitate the identification of mutations

  Study EGAS00001000194

• Radiotherapy_induced_sarcoma

  Whole genome library making will be performed on genomic DNA derived from radiotherapy induced sarcoma samples and matched normal DNA from the same patients. Next Generation sequencing will be performed on the resulting libraries and mapped to build 37 of the human reference genome to facilitate the identification of mutations

  Study EGAS00001000138

• 1054 Flemish Gut Flora Project (FGFP) samples (16S sequencing, dual index)

  Study exploring the taxonomic component of the human gut microbiota in relation to quality of life and depression. This dataset includes 16S rRNA gene sequencing data from 1054 individuals from the Flanders region in Belgium. Microbiota covariates used in the study are provided.

  Study EGAS00001003296

• Targeted resequencing of Acute Myeloid Leukemia patients with an acquired inv(3)(q21q26) or t(3;3)(q21;q26).

  Targeted resequencing on the specific regions chr3:126036241-130672290 and chr3:157712147-175694147 in hg19 centered on the chromosomal regions 3q21 and 3q26 respectively. The focus lies on the detection of the exact breakpoints in Acute Myeloid Leukemia (AML) patients having acquired a inv(3)(q21q26) or t(3;3)(q21;q26). This dataset contains all information to detect all structural variants contained within these regions, including the 3q-aberrations inducing the overexpression of the proto-oncogene EVI1.

  Dataset EGAD00001000727

• Rearrangements of Viral and Human Genomes at Human Papillomavirus Integration Events and Their Allele-Specific Impacts on Cancer Genome Regulation

  We discovered genomic and epigenomic dysregulation originating at sites of human papillomavirus (HPV) integration following the Oxford Nanopore long-read analysis of 72 cervical cancer genomes. The integration events had allele-specific effects on the genome, methylome, and transcriptome, which sometimes resulted in the activation of cancer genes. We also examined the 72 samples using Illumina short-read analysis in phs000528.

  Study phs003780

• single cell RNA-seq of small cell lung cancer circulating tumor cells

  This study investigated the transcriptomic profile of circulating tumor cells from three small cell lung cancer patients. CTCs were enriched from the blood of three SCLC patients using the CTC-iChip followed by magnetic depletion of RBCs. The enriched samples were processed with the 10x Genomics Chromium platform (Chromium GEM-X Single Cell 3' Kit v4) and sequenced on a NextSeq 2000 system.

  Study EGAS50000001401

• An investigation into the effects of progestin on follicular development and oocyte maturation during controlled ovarian stimulation using the Progestin-Primed Ovarian Stimulation (PPOS).

  In recent years, the Progestin-Primed Ovarian Stimulation (PPOS) method, utilizing progestin as ovulation suppressants, has gained traction as a controlled ovarian stimulation (COS) strategy in assisted reproductive technology (ART). However, the impact of progestin agents on follicular fluid, granulosa cells, and cumulus cells at the levels of gene and protein expression has not been fully assessed. This study aims to evaluate the effects of progestin agents, used in the PPOS method, on follicular development and oocyte maturation.

  Study JGAS000770

• MutWP5__CRUK_Mutographs_of_Cancer__Lung__PD37920__WG_

  Sequencing of LCM-derived microbiopsies from explanted lung from COPD patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutation burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this portion of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs.

  Study EGAS00001003320

• MutWP5__CRUK_Mutographs_of_Cancer__Lung__PD38233__WG_

  Sequencing of LCM-derived microbiopsies from explanted lung from COPD patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutation burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this portion of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs.

  Study EGAS00001003322

• MutWP5__CRUK_Mutographs_of_Cancer__Lung__PD38234__WG_

  Sequencing of LCM-derived microbiopsies from explanted lung from pulmonary fibrosis patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutation burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this portion of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs.

  Study EGAS00001003324

• MutWP5__CRUK_Mutographs_of_Cancer__Lung__PD43291_Novaseq__Exome_

  Sequencing of LCM-derived microbiopsies from explanted lung from COPD patient. Goal to assess the mutational burden, spectrum, and clonal dynamics within the tissue. Deep sampling throughout multiple regions of the lung will determine whether there are differences in smoking-related mutaiton burden in different portions of the lung. Whole-genome sequencing will be conducted on samples identified as promising from the initial targeted data. Results from this poriton of the study will be compared to other individuals with smoking-related diseases (COPD, pulmonary fibrosis, lung cancer), and normal, non-smoking lungs.

  Study EGAS00001003503

• Single-Cell Sequencing of Genomic DNA, RNA, and ADT in CRISPR-Edited Cells

  CRAFTseq data containing multi-modal single-cell genomic DNA amplicon, cDNA and surface-protein from various primary cell types and cell lines, including human CD4 T cells, Jurkat cells, HH cells, Daudi cells and HEK293T cells. Cells were edited with CRISPR HDR or base editing. Also contains bulk RNA-seq data for edited human primary CD4 T cells and Daudi cells.

  Study phs004042

• Gremlin 1 + fibroblastic niche maintains dendritic cell homeostasis in lymphoid tissues

  Although cross-species transcriptional analysis has been generated for DCs37, transcriptomic conservation between mouse and human FRCs at single-cell resolution has been unclear. To test whether GREM1+ FRCs might also play a role in DC homeostasis in humans, we performed scRNA-seq of CD45–PDPN+ stromal cells, as well as CD45+CD11c+ immune cells from healthy human LNs of three donors.

  Study EGAS00001006211

• SCRNA10X_SA_CHIP0080_001

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0080_001 1 samples; filetype=fastq

  Dataset EGAD00001006461

• SCRNA10X_SA_CHIP0080_002

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0080_002 1 samples; filetype=fastq

  Dataset EGAD00001006462

• SCRNA10X_SA_CHIP0006_001

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0006_001 1 samples; filetype=fastq

  Dataset EGAD00001006460

• SCRNA10X_SA_CHIP0141_004

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0141_004 1 samples; filetype=fastq

  Dataset EGAD00001006463

• SCRNA10X_SA_CHIP0142_001

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0142_001 1 samples; filetype=fastq

  Dataset EGAD00001006464

• SCRNA10X_SA_CHIP0142_003

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0142_003 1 samples; filetype=fastq

  Dataset EGAD00001006465

• SCRNA10X_SA_CHIP0146_002

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0146_002 1 samples; filetype=fastq

  Dataset EGAD00001006466

• SCRNA10X_SA_CHIP0149_001

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0149_001 1 samples; filetype=fastq

  Dataset EGAD00001006467

• SCRNA10X_SA_CHIP0149_002

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0149_002 1 samples; filetype=fastq

  Dataset EGAD00001006468

• SCRNA10X_SA_CHIP0150_001

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0150_001 1 samples; filetype=fastq

  Dataset EGAD00001006469

• SCRNA10X_SA_CHIP0150_002

  Transcriptome profiling by high-throughput sequencing for single cells for library SCRNA10X_SA_CHIP0150_002 1 samples; filetype=fastq

  Dataset EGAD00001006470