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miRetrieve-an R package and web application for miRNA text mining

Authors :
Julian Friedrich
Hans-Peter Hammes
Guido Krenning
Groningen Institute for Organ Transplantation (GIOT)
Cardiovascular Centre (CVC)
Source :
NAR genomics and bioinformatics, 3(4):lqab117, NAR Genomics and Bioinformatics
Publication Year :
2021

Abstract

microRNAs (miRNAs) regulate gene expression and thereby influence biological processes in health and disease. As a consequence, miRNAs are intensely studied and literature on miRNAs has been constantly growing. While this growing body of literature reflects the interest in miRNAs, it generates a challenge to maintain an overview, and the comparison of miRNAs that may function across diverse disease fields is complex due to this large number of relevant publications. To address these challenges, we designed miRetrieve, an R package and web application that provides an overview on miRNAs. By text mining, miRetrieve can characterize and compare miRNAs within specific disease fields and across disease areas. This overview provides focus and facilitates the generation of new hypotheses. Here, we explain how miRetrieve works and how it is used. Furthermore, we demonstrate its applicability in an exemplary case study and discuss its advantages and disadvantages.

Details

Language :
English
ISSN :
26319268
Volume :
3
Issue :
4
Database :
OpenAIRE
Journal :
NAR genomics and bioinformatics
Accession number :
edsair.doi.dedup.....c0bd559ee03eb42528931a7cd40b59a5
Full Text :
https://doi.org/10.1093/nargab/lqab117