BMC Bioinformatics (Aug 2020)

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

  • Tiziano Flati,
  • Silvia Gioiosa,
  • Nicola Spallanzani,
  • Ilario Tagliaferri,
  • Maria Angela Diroma,
  • Graziano Pesole,
  • Giovanni Chillemi,
  • Ernesto Picardi,
  • Tiziana Castrignanò

DOI
https://doi.org/10.1186/s12859-020-03562-x
Journal volume & issue
Vol. 21, no. S10
pp. 1 – 12

Abstract

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Abstract 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.

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