Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43436
Title: RNA Editing Detection in HPC Infrastructures
Authors: Giudice, Claudio Lo
Mansi, Luigi
Flati, Tiziano
Gioiosa, Silvia
Chillemi, Giovanni 
Libro, Pietro
CASTRIGNANÃ’, Tiziana 
Pesole, Graziano
Picardi, Ernesto
Issue Date: 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.
URI: http://hdl.handle.net/2067/43436
ISBN: 978-1-0716-1306-1
DOI: 10.1007/978-1-0716-1307-8_14
Appears in Collections:B1. Contributo in volume (Capitolo o Saggio)

Files in This Item:
File Description SizeFormat Existing users please
RNAeditingChapter14.pdf412.65 kBAdobe PDF    Request a copy
Show full item record

Page view(s)

10
Last Week
0
Last month
checked on Jun 13, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.