Study

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia

Study ID Alternative Stable ID Type
EGAS00001006327 Other

Study Description

Dataset accompanying the study entitled “Detection of early seeding of Richter transformation in chronic lymphocytic leukemia” (Nadeu et al. Nature Medicine 2022), which includes the analysis of longitudinal samples of 19 chronic lymphocytic leukemia patients developing Richter transformation.

Study Datasets 7 datasets.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001008953
Whole-exome sequencing
Illumina HiSeq 2000 1
EGAD00001008954
Whole-genome sequencing data
unspecified 67
EGAD00001008959
RNA-seq data
unspecified N/A
EGAD00001008960
Single cell DNA-seq data (CLL gene panel - Tapestri single-cell DNA CLL panel, Mission Bio)
Illumina NovaSeq 6000 N/A
EGAD00001008962
ATAC-seq data. Dataset includes FASTQ files, BAM files, and analysis files with the ATAC-seq peaks determined using MACS2.
unspecified N/A
EGAD00001008964
ChIP-seq peaks of H3K27ac. The dataset includes FASTQ files, BAM files, and analyses of the ChIP-seq peaks of H3K27ac determined using MACS2
unspecified N/A
EGAD00010002321
Methylation arrays (850K)
EPIC BeadChips (Illumina) 33

Who archives the data?

Publications

Citations

Retrieving...
Retrieving...