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Citations per year

Number of citations per year for the bioinformatics software tool MethGo

Tool usage distribution map

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MethGo specifications


Unique identifier OMICS_11056
Name MethGo
Software type Pipeline/Workflow
Interface Command line interface
Restrictions to use None
Input data MethGo takes the alignment file from both WGBS and RRBS as the input data.
Operating system Unix/Linux
Programming languages Python
License MIT License
Computer skills Advanced
Stability Stable
Maintained Yes


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  • person_outline Pao-Yang Chen

Publication for MethGo

MethGo citations


Optimized reduced representation bisulfite sequencing reveals tissue specific mCHH islands in maize

PMCID: 5577757
PMID: 28854962
DOI: 10.1186/s13072-017-0148-y

[…] d genebody regions, respectively. In our pipeline, the maize RRBS data can be mapped by general bisulfite aligner such as BS Seeker 2 [], and the downstream methylome analysis by the analyzer such as MethGO [].As a first attempt, we compared DNA methylation profiles between shoot and tassel primordia to investigate methylation changes in vegetative and reproductive stages. We took advantage of our […]


Profiling genome wide DNA methylation

PMCID: 4926291
PMID: 27358654
DOI: 10.1186/s13072-016-0075-3

[…] leĀ  lists 5 post-alignment analysis tools, and each of these tools has specific functions, e.g., BSPAT can detect allele-specific methylation [], SAAP-RRBS can extract the annotation of each C [] and MethGo can convert context methylation levels into average and genome-wide plots, as well as extract SNP and CNV profiles []. […]


GIW and InCoB, two premier bioinformatics conferences in Asia with a combined 40 years of history

BMC Genomics
PMCID: 4682400
PMID: 26679412
DOI: 10.1186/1471-2164-16-S12-I1

[…] ulfite sequencing data by replacing empirical parameters with emission functions for HMM-based DMR detection [] Complimentary to the aforementioned bisulfite sequencing primary data analysis tools is MethGO []. This analysis tool for bisulfite sequence alignments provides users options to see the methylation site coverage distribution, methylation states at defined regions (e.g. promoter and trans […]

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MethGo institution(s)
Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, USA; Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA
MethGo funding source(s)
This work was supported by a grant from Academia Sinica, and grants from MOST-103-2313-B-001-003-MY3 and MOST-103-2633-B-001-002 and NHRI-EX104-10324SC.

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