RRBSMAP: a fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing

RRBSMAP: a fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing. Xi, Y., Bock, C., Müller, F., Sun, D., Meissner, A., & Li, W. Bioinformatics (Oxford, England), 28(3):430 – 432, 2012.
doi abstract bibtex

SUMMARY:Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS. AVAILABILITY:http://rrbsmap.computational-epigenetics.org/ http://code.google.com/p/bsmap/ CONTACT:wl1@bcm.tmc.edu SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.

@article{Xi:2012, 
title = {{RRBSMAP: a fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing}}, 
author = {Xi, Yuanxin and Bock, Christoph and Müller, Fabian and Sun, Deqiang and Meissner, Alexander and Li, Wei}, 
journal = {Bioinformatics (Oxford, England)}, 
doi = {10.1093/bioinformatics/btr668}, 
abstract = {{SUMMARY:Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS.

AVAILABILITY:http://rrbsmap.computational-epigenetics.org/ http://code.google.com/p/bsmap/

CONTACT:wl1@bcm.tmc.edu

SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.}}, 
pages = {430 -- 432}, 
number = {3}, 
volume = {28}, 
language = {English}, 
local-url = {file://localhost/Users/fm/Documents/Papers%20Library/2012/Bioinformatics%20(Oxford,%20England)/2012_Xi_Bioinformatics%20(Oxford,%20England).pdf}, 
year = {2012}, 
rating = {0}
}

Downloads: 0

{"_id":"XT3jrTHhSfFQq7chK","bibbaseid":"xi-bock-mller-sun-meissner-li-rrbsmapafastaccurateanduserfriendlyalignmenttoolforreducedrepresentationbisulfitesequencing-2012","downloads":0,"creationDate":"2016-05-19T12:25:10.349Z","title":"RRBSMAP: a fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing","author_short":["Xi, Y.","Bock, C.","Müller, F.","Sun, D.","Meissner, A.","Li, W."],"year":2012,"bibtype":"article","biburl":"https://muellerf.s3.amazonaws.com/share/website/lab_papers_20201013.bib","bibdata":{"bibtype":"article","type":"article","title":"RRBSMAP: a fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing","author":[{"propositions":[],"lastnames":["Xi"],"firstnames":["Yuanxin"],"suffixes":[]},{"propositions":[],"lastnames":["Bock"],"firstnames":["Christoph"],"suffixes":[]},{"propositions":[],"lastnames":["Müller"],"firstnames":["Fabian"],"suffixes":[]},{"propositions":[],"lastnames":["Sun"],"firstnames":["Deqiang"],"suffixes":[]},{"propositions":[],"lastnames":["Meissner"],"firstnames":["Alexander"],"suffixes":[]},{"propositions":[],"lastnames":["Li"],"firstnames":["Wei"],"suffixes":[]}],"journal":"Bioinformatics (Oxford, England)","doi":"10.1093/bioinformatics/btr668","abstract":"SUMMARY:Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS. AVAILABILITY:http://rrbsmap.computational-epigenetics.org/ http://code.google.com/p/bsmap/ CONTACT:wl1@bcm.tmc.edu SUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.","pages":"430 – 432","number":"3","volume":"28","language":"English","local-url":"file://localhost/Users/fm/Documents/Papers%20Library/2012/Bioinformatics%20(Oxford,%20England)/2012_Xi_Bioinformatics%20(Oxford,%20England).pdf","year":"2012","rating":"0","bibtex":"@article{Xi:2012, \r\ntitle = {{RRBSMAP: a fast, accurate and user-friendly alignment tool for reduced representation bisulfite sequencing}}, \r\nauthor = {Xi, Yuanxin and Bock, Christoph and Müller, Fabian and Sun, Deqiang and Meissner, Alexander and Li, Wei}, \r\njournal = {Bioinformatics (Oxford, England)}, \r\ndoi = {10.1093/bioinformatics/btr668}, \r\nabstract = {{SUMMARY:Reduced representation bisulfite sequencing (RRBS) is a powerful yet cost-efficient method for studying DNA methylation on a genomic scale. RRBS involves restriction-enzyme digestion, bisulfite conversion and size selection, resulting in DNA sequencing data that require special bioinformatic handling. Here, we describe RRBSMAP, a short-read alignment tool that is designed for handling RRBS data in a user-friendly and scalable way. RRBSMAP uses wildcard alignment, and avoids the need for any preprocessing or post-processing steps. We benchmarked RRBSMAP against a well-validated MAQ-based pipeline for RRBS read alignment and observed similar accuracy but much improved runtime performance, easier handling and better scaling to large sample sets. In summary, RRBSMAP removes bioinformatic hurdles and reduces the computational burden of large-scale epigenome association studies performed with RRBS.\n\nAVAILABILITY:http://rrbsmap.computational-epigenetics.org/ http://code.google.com/p/bsmap/\n\nCONTACT:wl1@bcm.tmc.edu\n\nSUPPLEMENTARY INFORMATION:Supplementary data are available at Bioinformatics online.}}, \r\npages = {430 -- 432}, \r\nnumber = {3}, \r\nvolume = {28}, \r\nlanguage = {English}, \r\nlocal-url = {file://localhost/Users/fm/Documents/Papers%20Library/2012/Bioinformatics%20(Oxford,%20England)/2012_Xi_Bioinformatics%20(Oxford,%20England).pdf}, \r\nyear = {2012}, \r\nrating = {0}\r\n}\r\n","author_short":["Xi, Y.","Bock, C.","Müller, F.","Sun, D.","Meissner, A.","Li, W."],"key":"Xi:2012","id":"Xi:2012","bibbaseid":"xi-bock-mller-sun-meissner-li-rrbsmapafastaccurateanduserfriendlyalignmenttoolforreducedrepresentationbisulfitesequencing-2012","role":"author","urls":{},"downloads":0},"search_terms":["rrbsmap","fast","accurate","user","friendly","alignment","tool","reduced","representation","bisulfite","sequencing","xi","bock","müller","sun","meissner","li"],"keywords":[],"authorIDs":[],"dataSources":["Zgrh9hkyKHKebknCM"]}