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tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data

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...

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Autores principales: Lee, Jin-Ok, Chu, Jiyon, Jang, Gyuyeon, Lee, Minho, Chung, Yeun-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063265/
https://www.ncbi.nlm.nih.gov/pubmed/35501677
http://dx.doi.org/10.1186/s12859-022-04691-1
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author Lee, Jin-Ok
Chu, Jiyon
Jang, Gyuyeon
Lee, Minho
Chung, Yeun-Jun
author_facet Lee, Jin-Ok
Chu, Jiyon
Jang, Gyuyeon
Lee, Minho
Chung, Yeun-Jun
author_sort Lee, Jin-Ok
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04691-1.
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spelling pubmed-90632652022-05-04 tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data Lee, Jin-Ok Chu, Jiyon Jang, Gyuyeon Lee, Minho Chung, Yeun-Jun BMC Bioinformatics Software 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04691-1. BioMed Central 2022-05-02 /pmc/articles/PMC9063265/ /pubmed/35501677 http://dx.doi.org/10.1186/s12859-022-04691-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Lee, Jin-Ok
Chu, Jiyon
Jang, Gyuyeon
Lee, Minho
Chung, Yeun-Jun
tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data
title tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data
title_full tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data
title_fullStr tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data
title_full_unstemmed tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data
title_short tReasure: R-based GUI package analyzing tRNA expression profiles from small RNA sequencing data
title_sort treasure: r-based gui package analyzing trna expression profiles from small rna sequencing data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063265/
https://www.ncbi.nlm.nih.gov/pubmed/35501677
http://dx.doi.org/10.1186/s12859-022-04691-1
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