Pseudotime_ordering_of_cell_cycle_state

We will be using G&T method to sequence single cell genome and transcriptome derived from FS13B iPSCs cell line. The cell cycle state of each of the single cells is known. Hence, we will be analysing the genome and transcriptome of single cells from each of the cell cycle state to generate a copy number profile and transcriptome profile per given cell cycle stage: G1, S, G2, S.

Type: Cancer Genomics
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 1 Publication

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
EGAD00001005919	We will be using G&T method to sequence single cell genome and transcriptome derived from FS13B iPSCs cell line. The cell cycle state of each of the single cells is known. Hence, we will be analysing the genome and transcriptome of single cells from each of the cell cycle state to generate a copy number profile and transcriptome profile per given cell cycle stage: G1, S, G2, S. . This dataset contains all the data available for this study on 2020-01-29.	Illumina HiSeq 4000	192

Publications	Citations
Analyzing sex imbalance in EGA and dbGaP biological databases: Recommendations for better practices. Ruiz-Serra V, Buslón N, Philippe OR, Saby D, Morales M, Pontes C, Andirkó AM, Holliday GL, Jené A, Moldes M, Rambla J, Valencia A, Rementeria MJ, Cortés A, Cirillo D. iScience 27: 2024 110831	0