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GenomicsInteractions between the tumor and the systemic response of breast cancer patients
Breast cancer (BC) research has largely focused on the molecular properties of the tumor proper. However, to understand how cancer progresses and ultimately modulates patient outcome, we also require an understanding of the molecular changes in the patient systemic response (SR). Toward this end, we...
EGAS00001001804 | EGA
0
Genomics23002084-0c02-4c05-913a-7110952fa028 - samples
TST170 Pilot RNA VCF
EGAD00001005710 | EGA
0
Genomicsena-DATASET-EMBL-06-12-2018-02:10:51:685-261 - samples
In this study, we aimed to identify somatic structural variation of T-cell acute lymphoblastic leukemias (T-ALLs_ from patient-derived xenografts (PDX) at the single-cell level. For this purpose, we performed strand-specific single-cell sequencing of PDX-derived T-ALL relapse samples from two juveni...
EGAD00001004499 | EGA
0
GenomicsNeurodegenerative TGS
An investigation of clonal haematopoiesis in patients with neurodegenerative disease.
EGAS00001002431 | EGA
0
Genomicsena-DATASET-DKFZ-IBIOS-03-01-2017-12:51:29:816-785 - samples
WGS data of medulloblastoma tumor/control pairs.
EGAD00001003127 | EGA
0
Genomics7687436a-e704-42d8-b3c9-ab87e961e2e0 - samples
Case series of the rare tumor entity chordoma. 9 cases sequenced with Whole Exome Sequencing (WES) and 2 cases sequenced with Whole Genome Sequencing (WGS) were recruited from the personalized oncology program NCT-MASTER/DKTK-MASTER at the German Cancer Research Center. One of the WES patients was r...
EGAD00001004825 | EGA
0
GenomicsPOG_patient_31034 - samples
Genome and transcriptome sequence data from a pleomorphic sarcomatoid epithelioid carcinoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study
EGAD00001003694 | EGA
0
GenomicsNasal DNA methylation at three CpG sites predicts childhood allergic disease
We used machine learning models to systematically integrate large-scale multi-omics data from genomics, DNA methylation in blood, and nasal and environmental factors. We firstly evaluated the prediction power of each omics layer and identified that the prediction power was largely attributed to nasa...
EGAS00001005189 | EGA
0
GenomicsBP_September_2016_ATAC-seq_for_naive_B_cell_from_venous_blood,_on_Genome_GRCh38 - samples
ATAC-seq data for 3 sample(s) for naive B cell from venous blood, on Genome GRCh38. 3 run(s), 3 experiment(s), 3 alignment(s). Part of BLUEPRINT (September 2016).
EGAD00001002902 | EGA
0
GenomicsGATCI_WGS_align - samples
Sequence data in fastq format was aligned to the GRCh38 reference genome with BWA-MEM. Aligned sequence was preprocessed with GATK for Indel Realignment and Base Quality Score Recalibration. Duplicates were marked with Picard Mark Duplicates. Aligned sequence is in bam format. Details of the alignme...
EGAD00001005914 | EGA
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