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

BMC Bioinformatics(2020)

Cited 21|Views42
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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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Key words
RNA-editing,High Performance Computing,REDItools,Next Generation Sequencing,Sequence Analysis,Bioinformatics pipeline
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