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HPC-REDItools: a novel HPC-aware tool for improved large scale RNA-editing analysis

BACKGROUND: RNA editing is a widespread co-/post-transcriptional mechanism that alters primary RNA sequences through the modification of specific nucleotides and it can increase both the transcriptome and proteome diversity. The automatic detection of RNA-editing from RNA-seq data is computational i...

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Detalles Bibliográficos
Autores principales: Flati, Tiziano, Gioiosa, Silvia, Spallanzani, Nicola, Tagliaferri, Ilario, Diroma, Maria Angela, Pesole, Graziano, Chillemi, Giovanni, Picardi, Ernesto, Castrignanò, Tiziana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446188/
https://www.ncbi.nlm.nih.gov/pubmed/32838738
http://dx.doi.org/10.1186/s12859-020-03562-x
Descripción
Sumario:BACKGROUND: RNA editing is a widespread co-/post-transcriptional mechanism that alters primary RNA sequences through the modification of specific nucleotides and it can increase both the transcriptome and proteome diversity. The automatic detection of RNA-editing from RNA-seq data is computational intensive and limited to small data sets, thus preventing a reliable genome-wide characterisation of such process. RESULTS: In this work we introduce HPC-REDItools, an upgraded tool for accurate RNA-editing events discovery from large dataset repositories. Availability: https://github.com/BioinfoUNIBA/REDItools2. CONCLUSIONS: HPC-REDItools is dramatically faster than the previous version, REDItools, enabling big-data analysis by means of a MPI-based implementation and scaling almost linearly with the number of available cores.