TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis

Cytosine methylation plays an important role in many biological regulation processes. The current gold-standard method for analyzing cytosine methylation is based on sodium bisulfite treatment and high-throughput sequencing technologies. In this paper we introduce a new tool called TAMeBS for cytosi...

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Main Authors: Sun, Ruimin, Tian, Ye, Chen, Xin
Other Authors: School of Biological Sciences
Format: Conference or Workshop Item
Language:English
Published: 2015
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Online Access:https://hdl.handle.net/10356/81227
http://hdl.handle.net/10220/39171
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-812272023-02-28T16:54:56Z TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis Sun, Ruimin Tian, Ye Chen, Xin School of Biological Sciences School of Physical and Mathematical Sciences 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Biological Sciences Cytosine methylation plays an important role in many biological regulation processes. The current gold-standard method for analyzing cytosine methylation is based on sodium bisulfite treatment and high-throughput sequencing technologies. In this paper we introduce a new tool called TAMeBS for cytosine methylation analysis using bisulfite sequencing data. It aims to align long bisulfite-treated DNA reads onto a reference genome sequence with high mapping efficiency and estimate the methylation status of each cytosine very accurately. Our approach builds on recent advances in alignment techniques, including bidirectional FM-index, approximate seeds, and the likelihood-ratio scoring matrix which was designed particularly for aligning bisulfite-treated DNA reads. We compared TAMeBS with several popular bisulfite-treated read mapping tools on both simulation and real data. Experimental results showed that TAMeBS could detect many more uniquely best mapped reads than other tested tools while achieving a good balance between sensitivity and precision. The source code of TAMeBS is freely available at https://sourceforge.net/projects/tamebs/. MOE (Min. of Education, S’pore) NMRC (Natl Medical Research Council, S’pore) Accepted version 2015-12-18T07:14:12Z 2019-12-06T14:26:00Z 2015-12-18T07:14:12Z 2019-12-06T14:26:00Z 2014 Conference Paper Sun, R., Tian, Y., & Chen, X. (2014). TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis. 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). https://hdl.handle.net/10356/81227 http://hdl.handle.net/10220/39171 10.1109/BIBM.2014.6999148 en © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/BIBM.2014.6999148]. 18 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Biological Sciences
spellingShingle Biological Sciences
Sun, Ruimin
Tian, Ye
Chen, Xin
TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis
description Cytosine methylation plays an important role in many biological regulation processes. The current gold-standard method for analyzing cytosine methylation is based on sodium bisulfite treatment and high-throughput sequencing technologies. In this paper we introduce a new tool called TAMeBS for cytosine methylation analysis using bisulfite sequencing data. It aims to align long bisulfite-treated DNA reads onto a reference genome sequence with high mapping efficiency and estimate the methylation status of each cytosine very accurately. Our approach builds on recent advances in alignment techniques, including bidirectional FM-index, approximate seeds, and the likelihood-ratio scoring matrix which was designed particularly for aligning bisulfite-treated DNA reads. We compared TAMeBS with several popular bisulfite-treated read mapping tools on both simulation and real data. Experimental results showed that TAMeBS could detect many more uniquely best mapped reads than other tested tools while achieving a good balance between sensitivity and precision. The source code of TAMeBS is freely available at https://sourceforge.net/projects/tamebs/.
author2 School of Biological Sciences
author_facet School of Biological Sciences
Sun, Ruimin
Tian, Ye
Chen, Xin
format Conference or Workshop Item
author Sun, Ruimin
Tian, Ye
Chen, Xin
author_sort Sun, Ruimin
title TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis
title_short TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis
title_full TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis
title_fullStr TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis
title_full_unstemmed TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis
title_sort tamebs: a sensitive bisulfite-sequencing read mapping tool for dna methylation analysis
publishDate 2015
url https://hdl.handle.net/10356/81227
http://hdl.handle.net/10220/39171
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