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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.
Afiliação
  • La Ferlita A; Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
  • Alaimo S; Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA.
  • Di Bella S; Department of Physics and Astronomy, University of Catania, Catania, Italy.
  • Martorana E; Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
  • Laliotis GI; Nerviano Medical Sciences, Nerviano, Milan, Italy.
  • Bertoni F; Regional Referral Centre for Rare Lung Diseases, A. O. U. "Policlinico-Vittorio Emanuele", Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
  • Cascione L; Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA.
  • Tsichlis PN; Institute of Oncology Research, Bellinzona, Switzerland.
  • Ferro A; Institute of Oncology Research, Bellinzona, Switzerland.
  • Bosotti R; Department of Cancer Biology and Genetics, The Ohio State University, Columbus, OH, USA.
  • Pulvirenti A; Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy.
BMC Bioinformatics ; 22(1): 298, 2021 Jun 03.
Article em En | MEDLINE | ID: mdl-34082707
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Computação em Nuvem / Análise de Dados Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Computação em Nuvem / Análise de Dados Idioma: En Ano de publicação: 2021 Tipo de documento: Article