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

Comp. Struc. Biotech. J. 18, 1330-1341 (2020)
Publ. Version/Full Text Research data DOI
Open Access Gold
Creative Commons Lizenzvertrag

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.

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Publication type Article: Journal article
Document type Review
Keywords ChIP-seq; RNA-seq; NGS; Data integration; Multi-omics; Transcriptional regulation; Differential Expression Analysis; Factor-binding Sites; False Discovery Rate; Gene-expression; Rna-seq; Chromatin States; Sequence; Dna; Quantification; Single
ISSN (print) / ISBN 2001-0370
e-ISSN 2001-0370
Quellenangaben Volume: 18, Issue: , Pages: 1330-1341 Article Number: , Supplement: ,
Publisher Research Network of Computational and Structural Biotechnology (RNCSB)
Publishing Place Radarweg 29, 1043 Nx Amsterdam, Netherlands
Reviewing status Peer reviewed
Grants Helmholtz Association ICEMED