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Cited 2 time in webofscience Cited 2 time in scopus
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tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing dataopen access

Authors
Lee, Jin-OkChu, JiyonJang, GyuyeonLee, MinhoChung, Yeun-Jun
Issue Date
May-2022
Publisher
BioMed Central
Keywords
tRNA expression analysis; Small RNA sequence; GUI R packages
Citation
BMC Bioinformatics, v.23, no.1
Indexed
SCIE
SCOPUS
Journal Title
BMC Bioinformatics
Volume
23
Number
1
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/3174
DOI
10.1186/s12859-022-04691-1
ISSN
1471-2105
Abstract
Background: Recent deep sequencing technologies have proven to be valuable resources to gain Insights into the expression profiles of diverse tRNAs. However, despite these technologies, the association of tRNAs with diverse diseases has not been explored in depth because analytical tools are lacking. Results: We developed a user-friendly tool, tRNA Expression Analysis Software Utilizing R for Easy use (tReasure), to analyze differentially expressed tRNAs (DEtRNAs) from deep sequencing data of small RNAs using R packages. tReasure can quantify individual mature tRNAs, isodecoders, and isoacceptors. By adopting stringent mapping strategies, tReasure supports the precise measurement of mature tRNA read counts. The whole analysis workflow for determining DEtRNAs (uploading FASTQ files, removing adapter sequences and poor-quality reads, mapping and quantifying tRNAs, filtering out low count tRNAs, determining DEtRNAs, and visualizing statistical analysis) can be performed with the tReasure package. Conclusions: tReasure is an open-source software available for download at https://treasure.pmrc.re.kr and will be indispensable for users who have little experience with command-line software to explore the biological implication of tRNA expression.
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