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• Low input LC (ISC)

  R&D project to develop low input library construction methods.

  Dataset EGAD00001003254

• Whole-exome sequencing and microRNA profiling predicted relapse risk of stage I lung adenocarcinomas for the study and all the datasets.

  This dataset contains PAIR files and processed somatic copy number alteration value for array CGH of stage I lung adenocarcinomas from Asian patients. In total, there are 111 patients and 222 samples, including 111 tumor samples and 111 adjacent normal samples.

  Dataset EGAD00010001902

• Dac for "Combined single-cell transcriptomics and T-cell receptor sequencing reveal heterogeneity of mycosis fungoides between and within patients and identify a CD4+ cytotoxic subtype"

  Dac for "Combined single-cell transcriptomics and T-cell receptor sequencing reveal heterogeneity of mycosis fungoides between and within patients and identify a CD4+ cytotoxic subtype" with Name: Menghong Yin Email address: menghong.yin@dkfz-heidelberg.de Associated affiliation: Translational Skin Cancer Research Lab (DKFZ)

  Dac EGAC50000000168

• Exome sequencing data, phenotypic information, and somatic mutation analysis results for 44 diagnosis-relapse DLBCL pairs

  This dataset contains exome sequencing data, phenotypic information, and somatic mutation analysis results for 44 diagnosis-relapse DLBCL pairs. Exon sequencing data were captured using the Agilent HaloPlex exon kit. bam files were obtained from illumina sequencing followed by BWA alignment.

  Dataset EGAD50000000049

• CRITICS trial Whole Exome Sequencing (WES)

  Chemotherapy versus chemoradiotherapy after surgery and preoperative chemotherapy for resectable gastric cancer (CRITICS): an international, open-label, randomised phase 3 trial. Molecular characterisation of N=36 resectable gastric adenocarcinomas from CRITICS trial, describing mutations obtained by matched (Tumor-Normal) whole exome sequencing (WES). Samples are annotated for TCGA’s molecular classification (MSI, GS and CIN).

  Dataset EGAD50000001145

• DAC for "Copy number variations and fragmentation features in cell-free DNA predict response in advanced non-small cell lung cancer patients under anti-PD-(L)1 therapy"

  DAC for "Copy number variations and fragmentation features in cell-free DNA predict response in advanced non-small cell lung cancer patients under anti-PD-(L)1 therapy" with Florian Janke (f.janke@dkfz-heidelberg.de) and Holger Sültmann (h.sueltmann@dkfz-heidelberg.de)

  Dac EGAC50000000308

• Dataset for "HPV integration induces gene fusions" (RNA)

  RNA-seq data for "HPV integration induces gene fusions" We performed RNA-seq analysis of five HPV+ head and neck cancer samples using Illumina short reads. Sequenced are submitted in bam format. We also sequenced one samples with pacBio long reads, and the reads are submitted in fastq format.

  Dataset EGAD50000001303

• The dataset for Detection of brain cancer using genome-wide cell-free DNA fragmentomes

  The dataset for “Detection of brain cancer using genome-wide cell-free DNA fragmentomes” includes 310 bam files from whole genome next-generation sequencing on the Illumina Novaseq 6000. The dataset analyzed include plasma cfDNA samples from patients with cancer, patients with neurological conditions, and healthy individuals.

  Dataset EGAD50000001445

• singel cell RNAseq dataset for the study "Longitudinal Multi-Omics Study Reveals Molecular Drivers and Tumor Microenvironment in Extramedullary Multiple Myeloma"

  This dataset contains 16 fastq files of raw single-cell RNAsequencing data from 6 patients with Extramedullary multiple myeloma used for the study "Longitudinal Multi-Omics Study Reveals Molecular Drivers and Tumor Microenvironment in Extramedullary Multiple Myeloma"

  Dataset EGAD50000000053

• Total NF1 sequence in the patients with neurofaibromatosis type1

  We analyzed whole NF1 gene region at DNA (including whole exon and intron sequences) and RNA (full length cDNA of leukocyte) level for 20 patients with neurofibromatosis type 1.

  Study JGAS000288