BMC Bioinformatics | |
RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis | |
Georgios I. Laliotis1  Philip N. Tsichlis1  Salvatore Alaimo2  Alfredo Pulvirenti2  Alfredo Ferro2  Alessandro La Ferlita3  Francesco Bertoni4  Luciano Cascione4  Sebastiano Di Bella5  Roberta Bosotti5  Emanuele Martorana6  | |
[1] Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA;Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy;Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy;Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA;Department of Physics and Astronomy, University of Catania, Catania, Italy;Institute of Oncology Research, Bellinzona, Switzerland;Nerviano Medical Sciences, Nerviano, Milan, Italy;Regional Referral Centre for Rare Lung Diseases, A. O. U. “Policlinico-Vittorio Emanuele”, Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy; | |
关键词: RNA-seq; Stand-alone software; Cloud deployment; Pipeline; Docker; ncRNAs; Differential expression analysis; Pathway analysis; | |
DOI : 10.1186/s12859-021-04211-7 | |
来源: Springer | |
【 摘 要 】
BackgroundRNA-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.ResultsMotivated 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.ConclusionsRNAdetector 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.
【 授权许可】
CC BY
【 预 览 】
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RO202107226336346ZK.pdf | 1362KB | download |