Literature DB >> 27153660

BRAT-nova: fast and accurate mapping of bisulfite-treated reads.

Elena Y Harris1, Rachid Ounit2, Stefano Lonardi2.   

Abstract

UNLABELLED: In response to increasing amounts of sequencing data, faster and faster aligners need to become available. Here, we introduce BRAT-nova, a completely rewritten and improved implementation of the mapping tool BRAT-BW for bisulfite-treated reads (BS-Seq). BRAT-nova is very fast and accurate. On the human genome, BRAT-nova is 2-7 times faster than state-of-the-art aligners, while maintaining the same percentage of uniquely mapped reads and space usage. On synthetic reads, BRAT-nova is 2-8 times faster than state-of-the-art aligners while maintaining similar mapping accuracy, methylation call accuracy, methylation level accuracy and space efficiency.
AVAILABILITY AND IMPLEMENTATION: The software is available in the public domain at http://compbio.cs.ucr.edu/brat/ CONTACT: elenah@cs.ucr.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Year:  2016        PMID: 27153660     DOI: 10.1093/bioinformatics/btw226

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  4 in total

Review 1.  DNA methylation analysis in plants: review of computational tools and future perspectives.

Authors:  Jimmy Omony; Thomas Nussbaumer; Ruben Gutzat
Journal:  Brief Bioinform       Date:  2020-05-21       Impact factor: 11.622

Review 2.  Analysis and Performance Assessment of the Whole Genome Bisulfite Sequencing Data Workflow: Currently Available Tools and a Practical Guide to Advance DNA Methylation Studies.

Authors:  Ting Gong; Heather Borgard; Zao Zhang; Shaoqiu Chen; Zitong Gao; Youping Deng
Journal:  Small Methods       Date:  2022-01-22

3.  MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data.

Authors:  Yadollah Shahryary; Rashmi R Hazarika; Frank Johannes
Journal:  BMC Genomics       Date:  2020-07-13       Impact factor: 3.969

4.  BS-Seeker3: ultrafast pipeline for bisulfite sequencing.

Authors:  Kevin Yu Yuan Huang; Yan-Jiun Huang; Pao-Yang Chen
Journal:  BMC Bioinformatics       Date:  2018-04-03       Impact factor: 3.169

  4 in total

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