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miRetrieve—an R package and web application for miRNA text mining
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 cha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696973/ https://www.ncbi.nlm.nih.gov/pubmed/34988440 http://dx.doi.org/10.1093/nargab/lqab117 |
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author | Friedrich, Julian Hammes, Hans-Peter Krenning, Guido |
author_facet | Friedrich, Julian Hammes, Hans-Peter Krenning, Guido |
author_sort | Friedrich, Julian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8696973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-86969732022-01-04 miRetrieve—an R package and web application for miRNA text mining Friedrich, Julian Hammes, Hans-Peter Krenning, Guido NAR Genom Bioinform Methods Article 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. Oxford University Press 2021-12-23 /pmc/articles/PMC8696973/ /pubmed/34988440 http://dx.doi.org/10.1093/nargab/lqab117 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Methods Article Friedrich, Julian Hammes, Hans-Peter Krenning, Guido miRetrieve—an R package and web application for miRNA text mining |
title | miRetrieve—an R package and web application for miRNA text mining |
title_full | miRetrieve—an R package and web application for miRNA text mining |
title_fullStr | miRetrieve—an R package and web application for miRNA text mining |
title_full_unstemmed | miRetrieve—an R package and web application for miRNA text mining |
title_short | miRetrieve—an R package and web application for miRNA text mining |
title_sort | miretrieve—an r package and web application for mirna text mining |
topic | Methods Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696973/ https://www.ncbi.nlm.nih.gov/pubmed/34988440 http://dx.doi.org/10.1093/nargab/lqab117 |
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