CRAN/E | miRetrieve

miRetrieve

miRNA Text Mining in Abstracts

Installation

About

Providing tools for microRNA (miRNA) text mining. miRetrieve summarizes miRNA literature by extracting, counting, and analyzing miRNA names, thus aiming at gaining biological insights into a large amount of text within a short period of time. To do so, miRetrieve uses regular expressions to extract miRNAs and tokenization to identify meaningful miRNA associations. In addition, miRetrieve uses the latest miRTarBase version 8.0 (Hsi-Yuan Huang et al. (2020) "miRTarBase 2020: updates to the experimentally validated microRNA–target interaction database" doi:10.1093/nar/gkz896) to display field-specific miRNA-mRNA interactions. The most important functions are available as a Shiny web application under .

Key Metrics

Version 1.3.4
R ≥ 3.1.0
Published 2021-09-18 954 days ago
Needs compilation? no
License GPL-3
CRAN checks miRetrieve results

Downloads

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Maintainer

Maintainer

Julian Friedrich

julian.friedrich@medma.uni-heidelberg.de

Authors

Julian Friedrich

aut / cre

Hans-Peter Hammes

aut

Guido Krenning

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

miRetrieve archive

Depends

R ≥ 3.1.0

Imports

dplyr ≥ 1.0.7
forcats ≥ 0.5.1
ggplot2 ≥ 3.3.5
magrittr ≥ 2.0.1
openxlsx ≥ 4.2.4
plotly ≥ 4.9.4.1
purrr ≥ 0.3.4
readr ≥ 2.0.1
readxl ≥ 1.3.1
rlang ≥ 0.4.11
scales ≥ 1.1.1
stringr ≥ 1.4.0
textclean ≥ 0.9.3
tidyr ≥ 1.1.3
tidytext ≥ 0.3.1
topicmodels ≥ 0.2.12
wordcloud ≥ 2.6
xml2 ≥ 1.3.2
zoo ≥1.8-9

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