Literature DB >> 21724594

MethylCoder: software pipeline for bisulfite-treated sequences.

Brent Pedersen1, Tzung-Fu Hsieh, Christian Ibarra, Robert L Fischer.   

Abstract

MOTIVATION: MethylCoder is a software program that generates per-base methylation data given a set of bisulfite-treated reads. It provides the option to use either of two existing short-read aligners, each with different strengths. It accounts for soft-masked alignments and overlapping paired-end reads. MethylCoder outputs data in text and binary formats in addition to the final alignment in SAM format, so that common high-throughput sequencing tools can be used on the resulting output. It is more flexible than existing software and competitive in terms of speed and memory use. AVAILABILITY: MethylCoder requires only a python interpreter and a C compiler to run. Extensive documentation and the full source code are available under the MIT license at: https://github.com/brentp/methylcode. CONTACT: bpederse@gmail.com.

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Year:  2011        PMID: 21724594      PMCID: PMC3157921          DOI: 10.1093/bioinformatics/btr394

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


  9 in total

Review 1.  Introduction into the analysis of high-throughput-sequencing based epigenome data.

Authors:  Mikael Huss
Journal:  Brief Bioinform       Date:  2010-05-10       Impact factor: 11.622

2.  The Sequence Alignment/Map format and SAMtools.

Authors:  Heng Li; Bob Handsaker; Alec Wysoker; Tim Fennell; Jue Ruan; Nils Homer; Gabor Marth; Goncalo Abecasis; Richard Durbin
Journal:  Bioinformatics       Date:  2009-06-08       Impact factor: 6.937

3.  BS Seeker: precise mapping for bisulfite sequencing.

Authors:  Pao-Yang Chen; Shawn J Cokus; Matteo Pellegrini
Journal:  BMC Bioinformatics       Date:  2010-04-23       Impact factor: 3.169

4.  Fast and SNP-tolerant detection of complex variants and splicing in short reads.

Authors:  Thomas D Wu; Serban Nacu
Journal:  Bioinformatics       Date:  2010-02-10       Impact factor: 6.937

5.  Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.

Authors:  Ben Langmead; Cole Trapnell; Mihai Pop; Steven L Salzberg
Journal:  Genome Biol       Date:  2009-03-04       Impact factor: 13.583

6.  Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications.

Authors:  Felix Krueger; Simon R Andrews
Journal:  Bioinformatics       Date:  2011-04-14       Impact factor: 6.937

7.  BSMAP: whole genome bisulfite sequence MAPping program.

Authors:  Yuanxin Xi; Wei Li
Journal:  BMC Bioinformatics       Date:  2009-07-27       Impact factor: 3.169

8.  Shotgun bisulphite sequencing of the Arabidopsis genome reveals DNA methylation patterning.

Authors:  Shawn J Cokus; Suhua Feng; Xiaoyu Zhang; Zugen Chen; Barry Merriman; Christian D Haudenschild; Sriharsa Pradhan; Stanley F Nelson; Matteo Pellegrini; Steven E Jacobsen
Journal:  Nature       Date:  2008-02-17       Impact factor: 49.962

9.  BRAT: bisulfite-treated reads analysis tool.

Authors:  Elena Y Harris; Nadia Ponts; Aleksandr Levchuk; Karine Le Roch; Stefano Lonardi
Journal:  Bioinformatics       Date:  2009-12-22       Impact factor: 6.937

  9 in total
  36 in total

Review 1.  A survey of the approaches for identifying differential methylation using bisulfite sequencing data.

Authors:  Adib Shafi; Cristina Mitrea; Tin Nguyen; Sorin Draghici
Journal:  Brief Bioinform       Date:  2018-09-28       Impact factor: 11.622

2.  Comb-p: software for combining, analyzing, grouping and correcting spatially correlated P-values.

Authors:  Brent S Pedersen; David A Schwartz; Ivana V Yang; Katerina J Kechris
Journal:  Bioinformatics       Date:  2012-09-05       Impact factor: 6.937

Review 3.  Analysing and interpreting DNA methylation data.

Authors:  Christoph Bock
Journal:  Nat Rev Genet       Date:  2012-10       Impact factor: 53.242

Review 4.  Epigenetic control of gene regulation during development and disease: A view from the retina.

Authors:  Ximena Corso-Díaz; Catherine Jaeger; Vijender Chaitankar; Anand Swaroop
Journal:  Prog Retin Eye Res       Date:  2018-03-12       Impact factor: 21.198

Review 5.  DNA methylome analysis using short bisulfite sequencing data.

Authors:  Felix Krueger; Benjamin Kreck; Andre Franke; Simon R Andrews
Journal:  Nat Methods       Date:  2012-01-30       Impact factor: 28.547

6.  Evaluation of preprocessing, mapping and postprocessing algorithms for analyzing whole genome bisulfite sequencing data.

Authors:  Junko Tsuji; Zhiping Weng
Journal:  Brief Bioinform       Date:  2015-12-01       Impact factor: 11.622

7.  Analysis of Bisulfite Sequencing Data Using Bismark and DMRcaller to Identify Differentially Methylated Regions.

Authors:  HueyTyng Lee
Journal:  Methods Mol Biol       Date:  2022

8.  Role of DNA De Novo (De)Methylation in the Kidney in Salt-Induced Hypertension.

Authors:  Pengyuan Liu; Yong Liu; Han Liu; Xiaoqing Pan; Yingchuan Li; Kristie Usa; Manoj K Mishra; Jing Nie; Mingyu Liang
Journal:  Hypertension       Date:  2018-11       Impact factor: 10.190

Review 9.  Analyzing the cancer methylome through targeted bisulfite sequencing.

Authors:  Eun-Joon Lee; Junfeng Luo; James M Wilson; Huidong Shi
Journal:  Cancer Lett       Date:  2012-11-28       Impact factor: 8.679

10.  Base-resolution maps of 5-methylcytosine and 5-hydroxymethylcytosine in Dahl S rats: effect of salt and genomic sequence.

Authors:  Yong Liu; Pengyuan Liu; Chun Yang; Allen W Cowley; Mingyu Liang
Journal:  Hypertension       Date:  2014-01-13       Impact factor: 10.190

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