Seq-ing answers: Current data integration approaches to uncover mechanisms of transcriptional regulation

Barbara Höllbacher, Kinga Balázs, Matthias Heinig, N. Henriette Uhlenhaut

Research output: Contribution to journalReview articlepeer-review

13 Scopus citations

Abstract

Advancements in the field of next generation sequencing lead to the generation of ever-more data, with the challenge often being how to combine and reconcile results from different OMICs studies such as genome, epigenome and transcriptome. Here we provide an overview of the standard processing pipelines for ChIP-seq and RNA-seq as well as common downstream analyses. We describe popular multi-omics data integration approaches used to identify target genes and co-factors, and we discuss how machine learning techniques may predict transcriptional regulators and gene expression.

Original languageEnglish
Pages (from-to)1330-1341
Number of pages12
JournalComputational and Structural Biotechnology Journal
Volume18
DOIs
StatePublished - 2020

Keywords

  • ChIP-seq
  • Data integration
  • Multi-omics
  • NGS
  • RNA-seq
  • Transcriptional regulation

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