Single cell multi-omics (scNOVA) group for AML - EGA European Genome-Phenome Archive

Dac ID	Contact Person	Email	Access Information
EGAC00001001866	Jan Korbel	korbel [at] embl [dot] de	No additional information is available

Dataset ID	Description	Technology	Samples
EGAD00001006782	In this study, we aimed to identify somatic structural variation of acute myeloid leukemia (AML) at the single-cell level and investigate its direct consequence on the nucleosome occupancy using scNOVA approach. For this purpose, we performed strand-specific single-cell sequencing of primary leukemia samples from 32-year-old male donor.	NextSeq 500	42

Dataset ID

Description

Technology

Samples

EGAD00001006782

In this study, we aimed to identify somatic structural variation of acute myeloid leukemia (AML) at the single-cell level and investigate its direct consequence on the nucleosome occupancy using scNOVA approach. For this purpose, we performed strand-specific single-cell sequencing of primary leukemia samples from 32-year-old male donor.

NextSeq 500

DAC

This DAC controls 1 dataset:

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