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Dataset

Finding structural variation and functional consequences from the primary leukemia cells (CLL) at the single-cell level

Dataset ID	Technology	Samples
EGAD00001006822	NextSeq 500	86

Dataset Description

In this study, we aimed to identify somatic structural variation of chronic lymphocytic leukemia (CLL) 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 63-year-old female patient.

Data Use Conditions

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Label	Code	Version	Modifier
general research use	DUO:0000042	2019-01-07

Who controls access to this dataset

For each dataset that requires controlled access, there is a corresponding Data Access Committee (DAC) who determine access permissions. Access to actual data files is not managed by the EGA. If you need to request access to this data set, please contact:

Single cell multi-omics (scNOVA) group for CLL)
Contact person: Jan Korbel
Email: jan [dot] korbel [at] embl [dot] org
More details: EGAC00001001880

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This dataset is featured in 1 study

Studies are experimental investigations of a particular phenomenon. e.g. case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients. Click on one of the Study IDs below to find out more.

Study ID	Study Title	Study Type
EGAS00001004925	Finding structural variation and functional consequences from the primary leukemia cells (CLL) at the single-cell level	Other

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