BMC research notes · 2023
Genomic, transcriptomic and epigenomic sequencing data of the B-cell leukemia cell line REH.
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Lysenkova Wiklander Mariya, Övernäs Elin, Lagensjö Johanna, Raine Amanda, Petri Anna, Wiman Ann-Christin, Ramsell Jon, Marincevic-Zuniga Yanara, Gezelius Henrik, Martin Tom, Bunikis Ignas, Ekberg Sara, Erlandsson Rikard, Larsson Pontus, Mosbech Mai-Britt, Häggqvist Susana, Hellstedt Kerje Susanne, Feuk Lars, Ameur Adam, Liljedahl Ulrika, Nordlund Jessica
Аннотация
OBJECTIVES: The aim of this data paper is to describe a collection of 33 genomic, transcriptomic and epigenomic sequencing datasets of the B-cell acute lymphoblastic leukemia (ALL) cell line REH. REH is one of the most frequently used cell lines for functional studies of pediatric ALL, and these data provide a multi-faceted characterization of its molecular features. The datasets described herein, generated with short- and long-read sequencing technologies, can both provide insights into the complex aberrant karyotype of REH, and be used as reference datasets for sequencing data quality assessment or for methods development.
DATA DESCRIPTION: This paper describes 33 datasets corresponding to 867 gigabases of raw sequencing data generated from the REH cell line. These datasets include five different approaches for whole genome sequencing (WGS) on four sequencing platforms, two RNA sequencing (RNA-seq) techniques on two different sequencing platforms, DNA methylation sequencing, and single-cell ATAC-sequencing.
DATA DESCRIPTION: This paper describes 33 datasets corresponding to 867 gigabases of raw sequencing data generated from the REH cell line. These datasets include five different approaches for whole genome sequencing (WGS) on four sequencing platforms, two RNA sequencing (RNA-seq) techniques on two different sequencing platforms, DNA methylation sequencing, and single-cell ATAC-sequencing.