Cargando…

GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads

Cytosine DNA methylation is an epigenetic mark implicated in several biological processes. Bisulfite treatment of DNA is acknowledged as the gold standard technique to study methylation. This technique introduces changes in the genomic DNA by converting cytosines to uracils while 5-methylcytosines r...

Descripción completa

Detalles Bibliográficos
Autores principales: Manconi, Andrea, Orro, Alessandro, Manca, Emanuele, Armano, Giuliano, Milanesi, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026317/
https://www.ncbi.nlm.nih.gov/pubmed/24842718
http://dx.doi.org/10.1371/journal.pone.0097277
_version_ 1782316825670844416
author Manconi, Andrea
Orro, Alessandro
Manca, Emanuele
Armano, Giuliano
Milanesi, Luciano
author_facet Manconi, Andrea
Orro, Alessandro
Manca, Emanuele
Armano, Giuliano
Milanesi, Luciano
author_sort Manconi, Andrea
collection PubMed
description Cytosine DNA methylation is an epigenetic mark implicated in several biological processes. Bisulfite treatment of DNA is acknowledged as the gold standard technique to study methylation. This technique introduces changes in the genomic DNA by converting cytosines to uracils while 5-methylcytosines remain nonreactive. During PCR amplification 5-methylcytosines are amplified as cytosine, whereas uracils and thymines as thymine. To detect the methylation levels, reads treated with the bisulfite must be aligned against a reference genome. Mapping these reads to a reference genome represents a significant computational challenge mainly due to the increased search space and the loss of information introduced by the treatment. To deal with this computational challenge we devised GPU-BSM, a tool based on modern Graphics Processing Units. Graphics Processing Units are hardware accelerators that are increasingly being used successfully to accelerate general-purpose scientific applications. GPU-BSM is a tool able to map bisulfite-treated reads from whole genome bisulfite sequencing and reduced representation bisulfite sequencing, and to estimate methylation levels, with the goal of detecting methylation. Due to the massive parallelization obtained by exploiting graphics cards, GPU-BSM aligns bisulfite-treated reads faster than other cutting-edge solutions, while outperforming most of them in terms of unique mapped reads.
format Online
Article
Text
id pubmed-4026317
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-40263172014-05-21 GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads Manconi, Andrea Orro, Alessandro Manca, Emanuele Armano, Giuliano Milanesi, Luciano PLoS One Research Article Cytosine DNA methylation is an epigenetic mark implicated in several biological processes. Bisulfite treatment of DNA is acknowledged as the gold standard technique to study methylation. This technique introduces changes in the genomic DNA by converting cytosines to uracils while 5-methylcytosines remain nonreactive. During PCR amplification 5-methylcytosines are amplified as cytosine, whereas uracils and thymines as thymine. To detect the methylation levels, reads treated with the bisulfite must be aligned against a reference genome. Mapping these reads to a reference genome represents a significant computational challenge mainly due to the increased search space and the loss of information introduced by the treatment. To deal with this computational challenge we devised GPU-BSM, a tool based on modern Graphics Processing Units. Graphics Processing Units are hardware accelerators that are increasingly being used successfully to accelerate general-purpose scientific applications. GPU-BSM is a tool able to map bisulfite-treated reads from whole genome bisulfite sequencing and reduced representation bisulfite sequencing, and to estimate methylation levels, with the goal of detecting methylation. Due to the massive parallelization obtained by exploiting graphics cards, GPU-BSM aligns bisulfite-treated reads faster than other cutting-edge solutions, while outperforming most of them in terms of unique mapped reads. Public Library of Science 2014-05-19 /pmc/articles/PMC4026317/ /pubmed/24842718 http://dx.doi.org/10.1371/journal.pone.0097277 Text en © 2014 Manconi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Manconi, Andrea
Orro, Alessandro
Manca, Emanuele
Armano, Giuliano
Milanesi, Luciano
GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads
title GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads
title_full GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads
title_fullStr GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads
title_full_unstemmed GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads
title_short GPU-BSM: A GPU-Based Tool to Map Bisulfite-Treated Reads
title_sort gpu-bsm: a gpu-based tool to map bisulfite-treated reads
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026317/
https://www.ncbi.nlm.nih.gov/pubmed/24842718
http://dx.doi.org/10.1371/journal.pone.0097277
work_keys_str_mv AT manconiandrea gpubsmagpubasedtooltomapbisulfitetreatedreads
AT orroalessandro gpubsmagpubasedtooltomapbisulfitetreatedreads
AT mancaemanuele gpubsmagpubasedtooltomapbisulfitetreatedreads
AT armanogiuliano gpubsmagpubasedtooltomapbisulfitetreatedreads
AT milanesiluciano gpubsmagpubasedtooltomapbisulfitetreatedreads