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RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis
BACKGROUND: RNA-Seq is a well-established technology extensively used for transcriptome profiling, allowing the analysis of coding and non-coding RNA molecules. However, this technology produces a vast amount of data requiring sophisticated computational approaches for their analysis than other trad...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173825/ https://www.ncbi.nlm.nih.gov/pubmed/34082707 http://dx.doi.org/10.1186/s12859-021-04211-7 |
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author | La Ferlita, Alessandro Alaimo, Salvatore Di Bella, Sebastiano Martorana, Emanuele Laliotis, Georgios I. Bertoni, Francesco Cascione, Luciano Tsichlis, Philip N. Ferro, Alfredo Bosotti, Roberta Pulvirenti, Alfredo |
author_facet | La Ferlita, Alessandro Alaimo, Salvatore Di Bella, Sebastiano Martorana, Emanuele Laliotis, Georgios I. Bertoni, Francesco Cascione, Luciano Tsichlis, Philip N. Ferro, Alfredo Bosotti, Roberta Pulvirenti, Alfredo |
author_sort | La Ferlita, Alessandro |
collection | PubMed |
description | BACKGROUND: RNA-Seq is a well-established technology extensively used for transcriptome profiling, allowing the analysis of coding and non-coding RNA molecules. However, this technology produces a vast amount of data requiring sophisticated computational approaches for their analysis than other traditional technologies such as Real-Time PCR or microarrays, strongly discouraging non-expert users. For this reason, dozens of pipelines have been deployed for the analysis of RNA-Seq data. Although interesting, these present several limitations and their usage require a technical background, which may be uncommon in small research laboratories. Therefore, the application of these technologies in such contexts is still limited and causes a clear bottleneck in knowledge advancement. RESULTS: Motivated by these considerations, we have developed RNAdetector, a new free cross-platform and user-friendly RNA-Seq data analysis software that can be used locally or in cloud environments through an easy-to-use Graphical User Interface allowing the analysis of coding and non-coding RNAs from RNA-Seq datasets of any sequenced biological species. CONCLUSIONS: RNAdetector is a new software that fills an essential gap between the needs of biomedical and research labs to process RNA-Seq data and their common lack of technical background in performing such analysis, which usually relies on outsourcing such steps to third party bioinformatics facilities or using expensive commercial software. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04211-7. |
format | Online Article Text |
id | pubmed-8173825 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81738252021-06-03 RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis La Ferlita, Alessandro Alaimo, Salvatore Di Bella, Sebastiano Martorana, Emanuele Laliotis, Georgios I. Bertoni, Francesco Cascione, Luciano Tsichlis, Philip N. Ferro, Alfredo Bosotti, Roberta Pulvirenti, Alfredo BMC Bioinformatics Software BACKGROUND: RNA-Seq is a well-established technology extensively used for transcriptome profiling, allowing the analysis of coding and non-coding RNA molecules. However, this technology produces a vast amount of data requiring sophisticated computational approaches for their analysis than other traditional technologies such as Real-Time PCR or microarrays, strongly discouraging non-expert users. For this reason, dozens of pipelines have been deployed for the analysis of RNA-Seq data. Although interesting, these present several limitations and their usage require a technical background, which may be uncommon in small research laboratories. Therefore, the application of these technologies in such contexts is still limited and causes a clear bottleneck in knowledge advancement. RESULTS: Motivated by these considerations, we have developed RNAdetector, a new free cross-platform and user-friendly RNA-Seq data analysis software that can be used locally or in cloud environments through an easy-to-use Graphical User Interface allowing the analysis of coding and non-coding RNAs from RNA-Seq datasets of any sequenced biological species. CONCLUSIONS: RNAdetector is a new software that fills an essential gap between the needs of biomedical and research labs to process RNA-Seq data and their common lack of technical background in performing such analysis, which usually relies on outsourcing such steps to third party bioinformatics facilities or using expensive commercial software. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-021-04211-7. BioMed Central 2021-06-03 /pmc/articles/PMC8173825/ /pubmed/34082707 http://dx.doi.org/10.1186/s12859-021-04211-7 Text en © The Author(s) 2021 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 La Ferlita, Alessandro Alaimo, Salvatore Di Bella, Sebastiano Martorana, Emanuele Laliotis, Georgios I. Bertoni, Francesco Cascione, Luciano Tsichlis, Philip N. Ferro, Alfredo Bosotti, Roberta Pulvirenti, Alfredo RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis |
title | RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis |
title_full | RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis |
title_fullStr | RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis |
title_full_unstemmed | RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis |
title_short | RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis |
title_sort | rnadetector: a free user-friendly stand-alone and cloud-based system for rna-seq data analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173825/ https://www.ncbi.nlm.nih.gov/pubmed/34082707 http://dx.doi.org/10.1186/s12859-021-04211-7 |
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