15016 results for "cancer studies using rna-seq"

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• Single-cell multiome ATAC and gene expression profiling of hepatoblastoma tumor organoids

  10X Genomics single-cell multiome profiling of hepatoblastoma tumor organoids using Chromium Next GEM Single-Cell Multiome ATAC + Gene Expression Kit. Single-cell transcriptomics data (bam file) of multiplexed sample of hepatoblastoma tumor organoids: 3E, 8F1, 10F2, 13F2, 13E, 17E and 96F1. Single-cell solutions were obtained from fresh organoid samples using enzymatic digestion.

  Dataset EGAD50000000795

• Single-cell transcriptomic profiling of hepatoblastoma tumor organoids

  10X Genomics single-cell transcriptomic profiling of hepatoblastoma tumor organoids using Chromium Next GEM Single-Cell 3’ Reagent Kits v3.1 or 3’ CellPlex Multiplexing Kit. Single-cell transcriptomics data (bam files) of hepatoblastoma tumor organoids: 3E, 8F1, 10F2, 13F2, 13F2 late, 13E, 17E, 17F1, 22E, 27F1, 28F1, 31E, 96F1, 121E and 135. Single-cell solutions were obtained from fresh organoid samples using enzymatic digestion.

  Dataset EGAD50000000796

• DNA Methylation Profiles of T2D and Control Subjects from the GCAT Cohort Using EPIC v2

  This dataset contains DNA methylation data from 400 individuals (200 Type 2 Diabetes cases and 200 controls) from the GCAT (Genomes for Life) cohort. The methylation profiling was performed using the Illumina Infinium MethylationEPIC v2.0 BeadChip, which offers comprehensive coverage of over 850,000 CpG sites. Data are provided in IDAT file format, enabling raw signal-level analysis and downstream processing.

  Dataset EGAD00010002740

• M116 Whole Genome Sequencing

  Whole Genome Sequencing (WGS) was performed using DNA extracted from M116’s blood, saliva, and urine samples. DNA was fragmented to 350 bp, followed by library preparation, paired-end 150 bp WGS, and variant calling, all conducted by Novogene®. Sequencing was carried out with a 10X coverage (approximately 60 Gb and 200 million reads per sample) using the NovaSeq X Plus platform (Illumina). Files types included in this dataset are raw Fastq files.

  Dataset EGAD50000001286

• WGS

  A genome-wide approach based on next generation sequencing (NGS) is performed on trios ( Patient+ Father + Mother) with SAID in order to identify known and new gene variants associated with certain forms of the disease. Whole-genome sequencing (WGS) was performed on frozen PBMCs. DNA was extracted using Chemagic Prime ( Perkin Elmer) and quantified with nanodrop. The raw sequencing data is generated on the Novaseq 6000 using an S4 flowcell, with a sequencing depth of ~30X

  Dataset EGAD50000002026

• Building a Database of Genomic Structural Variants in Japanese population

  Purified genomic DNA was purchased from Japanese Collection of Research Bioresources (Japanese B cell DNA bank), National Institutes of Biomedical Innovation, Health and Nutrition in Japan. We sequenced those genomic DNAs using PacBio Sequel II and analyzed genomic structural variations.

  Study JGAS000596

• Building a Database of Genomic Structural Variants in Japanese population

  Purified genomic DNA was purchased from Japanese Collection of Research Bioresources (Japanese B cell DNA bank), National Institutes of Biomedical Innovation, Health and Nutrition in Japan. We sequenced those genomic DNAs using PacBio Sequel II and analyzed genomic structural variations.

  Study JGAS000505

• The analysis of gene mutations in Hematology malignancy

  We analysed the mutations of target genes regarding malignant lymphoma and myeloma to investigate the relationships between clonal evoutions and disease status. The gene mutation analyses using NGS at the point of diagnosis and relapse or proceeding disease.

  Study JGAS000232

• Whole genome sequencing data of paediatric KMT2A-rearranged acute lymphoblastic leukemia

  Whole genome sequencing data from infant (<1 y) paediatric (< 18 y) KMT2A-rearranged acute lymphoblastic leukemias. Dataset includes fastq and BAM files from diagnostic and remission (control) samples of 3 patients. Dataset consists of two experiments depending on library preparation method; "Experiment 1" is made using normal WGS library preparation (pcr+), and "Experiment 2" is made using pcr-free library preparation method.

  Dataset EGAD50000001568

• BAM-format HiFi whole genome sequencing reads (PacBio Revio) from stabilized human saliva

  HiFi whole‑genome sequencing data from a single human saliva sample collected and stabilized using an Oragene device. Sequencing was performed on a SMRT® Cell using PacBio Revio™ SPRQ chemistry. Sequencing produced >100 Gb of HiFi reads yielding >30× genome coverage suitable for comprehensive variant and methylation analysis. Dataset includes long‑read HiFi sequences in BAM format, containing both aligned and unaligned reads.

  Dataset EGAD50000002398

• Summary statistics of meta-analysis using two genome-wide association study of inflammatory bowel disease in Koreans.

  We combined samples from 1,469 inflammatory bowel disease (IBD) patients consisted of 896 Crohn’s disease (CD) and 573 ulcerative colitis (UC) and 4,041 controls used in our previously published GWAS with 1,726 additional IBD patients (725 CD and 1,001 UC) and 378 additional controls genotyped using the Asian Screening Array (ASA). We uploaded summary statistics of three meta-analyses in text files.

  Dataset EGAD00001006983

• Dataset of the sequenced and imputed genotypes

  Samples from 149 trios from the Saguenay-Lac-Saint-Jean asthma familial cohort were all sequenced using a custom capture panel developed by our group, followed by next-generation sequencing. This custom capture panel covers around 3% of the genome, including coding and non-coding immune regulatory regions. We inferred the sequence in the non-sequenced siblings who were part of the same families as the trios and we imputed the sequence using IMPUTE2 in the whole cohort.

  Dataset EGAD00001004268

• Paired WGS data of 45 samples and 2 paired WES sample of RRMM (multiple myeloma)

  Here is mostly paired WGS data of RRMM, 45 samples (tumors and controls) in 86 runs. This data was produced by using Illumina TruSeq Nano DNA and NovaSeq6000 or HiSeq X Ten for sequencing. One tumor/control pair is WES data using Agilent SureSelect V5+UTRs and NovaSeq6000 for sequencing.

  Dataset EGAD00001009682

• Megabase scale methylation phasing using Nanopore long reads and NanoMethPhase

  This paper describes the work by Akbari V,. et al. on detection of allele specific methylation using oxford nanopore sequencing data. They have developed set of tools, SNVoter and NanoMethPhase, and workflow which enable the detection of allele specific methylation even in samples with sparse coverage of nanopore sequencing data.

  Dataset EGAD00001007920

• Naive B-cell receptor heavy chain repertoire of celiac patients and healthy controls

  High throughput sequencing dataset of antibody repertoires from naive B-cells, taken from blood samples of 100 individuals from Norway. 48 healthy controls and 52 patients with celiac disease. Sequencing was performed using a 300*2 paired-end kit by Illumina MiSeq. The sequences were processed using pRESTO. Each fastq file in the dataset is the repertoire of a single individual.

  Dataset EGAD00001004512