Generating transcriptional regulatory networks from time-ordered stem cell differentiation RNA sequencing data

Yu Shuen Tsai, Yao Ming Chang, Yang Mooi Lim, Soon Keng Cheong, I. Fang Chung*, Chee Yin Wong*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We describe steps to 1) identify ascending and descending monotonic key genes from time-ordered stem cell differentiation expression data, 2) construct time-ordered transcriptional regulatory networks, and 3) infer the involvement of transcription factors along the differentiation process. For complete details on the use and execution of this protocol, please refer to Wong et al. (2020).

Original languageEnglish
Article number101541
JournalSTAR Protocols
Volume3
Issue number3
DOIs
StatePublished - 16 Sep 2022

Keywords

  • Bioinformatics
  • Cell Differentiation
  • Genomics
  • RNAseq
  • Sequence analysis
  • Stem Cells

Fingerprint

Dive into the research topics of 'Generating transcriptional regulatory networks from time-ordered stem cell differentiation RNA sequencing data'. Together they form a unique fingerprint.

Cite this