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BS-SNPer: SNP calling in bisulfite-seq data
Summary: Sodium bisulfite conversion followed by sequencing (BS-Seq, such as whole genome bisulfite sequencing or reduced representation bisulfite sequencing) has become popular for studying human epigenetic profiles. Identifying single nucleotide polymorphisms (SNPs) is important for quantification...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673977/ https://www.ncbi.nlm.nih.gov/pubmed/26319221 http://dx.doi.org/10.1093/bioinformatics/btv507 |
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author | Gao, Shengjie Zou, Dan Mao, Likai Liu, Huayu Song, Pengfei Chen, Youguo Zhao, Shancen Gao, Changduo Li, Xiangchun Gao, Zhibo Fang, Xiaodong Yang, Huanming Ørntoft, Torben F. Sørensen, Karina D. Bolund, Lars |
author_facet | Gao, Shengjie Zou, Dan Mao, Likai Liu, Huayu Song, Pengfei Chen, Youguo Zhao, Shancen Gao, Changduo Li, Xiangchun Gao, Zhibo Fang, Xiaodong Yang, Huanming Ørntoft, Torben F. Sørensen, Karina D. Bolund, Lars |
author_sort | Gao, Shengjie |
collection | PubMed |
description | Summary: Sodium bisulfite conversion followed by sequencing (BS-Seq, such as whole genome bisulfite sequencing or reduced representation bisulfite sequencing) has become popular for studying human epigenetic profiles. Identifying single nucleotide polymorphisms (SNPs) is important for quantification of methylation levels and for study of allele-specific epigenetic events such as imprinting. However, SNP calling in such data is complex and time consuming. Here, we present an ultrafast and memory-efficient package named BS-SNPer for the exploration of SNP sites from BS-Seq data. Compared with Bis-SNP, a popular BS-Seq specific SNP caller, BS-SNPer is over 100 times faster and uses less memory. BS-SNPer also offers higher sensitivity and specificity compared with existing methods. Availability and implementation: BS-SNPer is written in C++ and Perl, and is freely available at https://github.com/hellbelly/BS-Snper. Contact: bolund@biomed.au.dk, kdso@clin.au.dk or orntoft@ki.au.dk Supplementary information: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-4673977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-46739772015-12-10 BS-SNPer: SNP calling in bisulfite-seq data Gao, Shengjie Zou, Dan Mao, Likai Liu, Huayu Song, Pengfei Chen, Youguo Zhao, Shancen Gao, Changduo Li, Xiangchun Gao, Zhibo Fang, Xiaodong Yang, Huanming Ørntoft, Torben F. Sørensen, Karina D. Bolund, Lars Bioinformatics Applications Notes Summary: Sodium bisulfite conversion followed by sequencing (BS-Seq, such as whole genome bisulfite sequencing or reduced representation bisulfite sequencing) has become popular for studying human epigenetic profiles. Identifying single nucleotide polymorphisms (SNPs) is important for quantification of methylation levels and for study of allele-specific epigenetic events such as imprinting. However, SNP calling in such data is complex and time consuming. Here, we present an ultrafast and memory-efficient package named BS-SNPer for the exploration of SNP sites from BS-Seq data. Compared with Bis-SNP, a popular BS-Seq specific SNP caller, BS-SNPer is over 100 times faster and uses less memory. BS-SNPer also offers higher sensitivity and specificity compared with existing methods. Availability and implementation: BS-SNPer is written in C++ and Perl, and is freely available at https://github.com/hellbelly/BS-Snper. Contact: bolund@biomed.au.dk, kdso@clin.au.dk or orntoft@ki.au.dk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2015-12-15 2015-08-28 /pmc/articles/PMC4673977/ /pubmed/26319221 http://dx.doi.org/10.1093/bioinformatics/btv507 Text en © The Author 2015. Published by Oxford University Press. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes Gao, Shengjie Zou, Dan Mao, Likai Liu, Huayu Song, Pengfei Chen, Youguo Zhao, Shancen Gao, Changduo Li, Xiangchun Gao, Zhibo Fang, Xiaodong Yang, Huanming Ørntoft, Torben F. Sørensen, Karina D. Bolund, Lars BS-SNPer: SNP calling in bisulfite-seq data |
title | BS-SNPer: SNP calling in bisulfite-seq data |
title_full | BS-SNPer: SNP calling in bisulfite-seq data |
title_fullStr | BS-SNPer: SNP calling in bisulfite-seq data |
title_full_unstemmed | BS-SNPer: SNP calling in bisulfite-seq data |
title_short | BS-SNPer: SNP calling in bisulfite-seq data |
title_sort | bs-snper: snp calling in bisulfite-seq data |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4673977/ https://www.ncbi.nlm.nih.gov/pubmed/26319221 http://dx.doi.org/10.1093/bioinformatics/btv507 |
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