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.

RNA Editing Detection in HPC Infrastructures

Lo Giudice C.;Mansi L.;Flati T.;Gioiosa S.;Pesole G.;Picardi E.
2021

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.
2021
Istituto di Biomembrane, Bioenergetica e Biotecnologie Molecolari (IBIOM)
A-to-I editing
Bioinformatics
Deep sequencing
DNAseq
Genomics
HPC
MPI
RNA editing
RNAseq
Transcriptomics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/538027
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