| Literature DB >> 33835447 |
Claudio Lo Giudice1, Luigi Mansi1, Tiziano Flati2, Silvia Gioiosa2, Giovanni Chillemi2,3, Pietro Libro4, Tiziana Castrignanò4, Graziano Pesole1,5,6, Ernesto Picardi7,8,9.
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.Entities:
Keywords: A-to-I editing; Bioinformatics; DNAseq; Deep sequencing; Genomics; HPC; MPI; RNA editing; RNAseq; Transcriptomics
Year: 2021 PMID: 33835447 DOI: 10.1007/978-1-0716-1307-8_14
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745