Gene set analysis methods for the functional interpretation of non-mRNA data-Genomic range and ncRNA data.

Abstract:

:Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current omics studies; however, it has been mainly developed to analyze mRNA (microarray, RNA-Seq) data. The following review includes an update regarding general methods and resources for GSA and then emphasizes GSA methods and tools for non-mRNA omics datasets, specifically genomic range data (ChIP-Seq, SNP and methylation) and ncRNA data (miRNAs, lncRNAs and others). In the end, the state of the GSA field for non-mRNA datasets is discussed, and some current challenges and trends are highlighted, especially the use of network approaches to face complexity issues.

journal_name

Brief Bioinform

authors

Mora A

doi

10.1093/bib/bbz090

subject

Has Abstract

pub_date

2020-09-25 00:00:00

pages

1495-1508

issue

5

eissn

1467-5463

issn

1477-4054

pii

5586921

journal_volume

21

pub_type

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