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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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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 |
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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 |
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