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. 2021:2284:253-270.
doi: 10.1007/978-1-0716-1307-8_14.

RNA Editing Detection in HPC Infrastructures

Affiliations

RNA Editing Detection in HPC Infrastructures

Claudio Lo Giudice et al. Methods Mol Biol. 2021.

Erratum in

  • Correction to: RNA Bioinformatics.
    Picardi E. Picardi E. Methods Mol Biol. 2021;2284:C1. doi: 10.1007/978-1-0716-1307-8_32. Methods Mol Biol. 2021. PMID: 34339024 No abstract available.

Abstract

RNA editing by A-to-I deamination is a relevant co/posttranscriptional modification carried out by ADAR enzymes. In humans, it has pivotal cellular effects and its deregulation has been linked to a variety of human disorders including neurological and neurodegenerative diseases and cancer. Despite its biological relevance, the detection of RNA editing variants in large transcriptome sequencing experiments (RNAseq) is yet a challenging computational task. To drastically reduce computing times we have developed a novel REDItools version able to identify A-to-I events in huge amount of RNAseq data employing High Performance Computing (HPC) infrastructures.Here we show how to use REDItools v2 in HPC systems.

Keywords: A-to-I editing; Bioinformatics; DNAseq; Deep sequencing; Genomics; HPC; MPI; RNA editing; RNAseq; Transcriptomics.

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