Modeling the Depth of Cellular Dormancy from RNA-Sequencing Data.
Methods Mol Biol
; 2811: 123-135, 2024.
Article
in En
| MEDLINE
| ID: mdl-39037654
ABSTRACT
High-throughput transcriptome RNA sequencing is a powerful tool for understanding dynamic biological processes. Here, we present a computational framework, implemented in an R package QDSWorkflow, to characterize heterogeneous cellular dormancy depth using RNA-sequencing data from bulk samples and single cells.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Software
/
Sequence Analysis, RNA
/
High-Throughput Nucleotide Sequencing
Limits:
Humans
Language:
En
Journal:
Methods Mol Biol
Journal subject:
BIOLOGIA MOLECULAR
Year:
2024
Document type:
Article
Affiliation country:
Estados Unidos
Country of publication:
Estados Unidos