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Table 2 Comparison of existing software programs for bisulfite sequencing analysis (Adapted from [14])

From: ampliMethProfiler: a pipeline for the analysis of CpG methylation profiles of targeted deep bisulfite sequenced amplicons

Software

Programming Language and Implementation

Analysis Process

Visual Output

Input File

Output File

EHA

Epihaplotype Counts

Experiment Quality Check

MethPat

Python, pip install,

URL available to install files locally.

Summarises Bismark output.

Interactive HTML and summary text file of epihaplotype counts.

Scalable PNG file.

Bismark methylation extractor output, user-defined BED format file.

HTML and tab delimited text file.

No

Yes

No, made by Bismark.

Bismark

Command line,

Python, requires bwa.

Performs alignment to bisulfite reference genome.

None, generates BAM files for visualisation with SeqMonk or IGV.

FASTQ file.

BAM and tab delimited text files.

No

No

Yes computes C to T conversion.

BSPAT

Java/JSP web interface.

Visualization and summarization of Bismark output.

PNG file and UCSC

Genome Browser file.

Bismark output, FASTQ files.

Text file summary, PNG and UCSC Genome Browser BED file.

No

Yes

No

MPFE

R library, Bioconductor.

Calculates probabilities that epihaplotypes are true.

R image outputs.

Table of read counts from bisulfite sequencing data.

Derived statistics and plots.

No

Yes

Yes

Methylation plotter

R library, shiny interactive web application.

Visualizes beta DNA methylation values.

Interactive webpage with setting options to adjust a static image of DNA methylation values for each sample. PNG and PDF output.

Text file containing matrix of sample vs beta value at each CpG of interest.

PDF and PNG image file.

No

No

No

RnBeads

R library, Bioconductor.

Processes summary data from other software for visualization.

Interactive HTML and UCSC Genome browser track hub files. PNG files.

BED file

HTML summary

No

No

Yes

coMET

R library, Webserver for analysis.

For EWAS studies.

Analyses derived matrix files.

Image files of plots with genomic locations.

Text matrix files

Image files

No

No

No

AmpliMethProfiler

Python, BLAST and QIIME

Filtering and de-multiplexing of the sequence, generation of the methylation status and EpiHaplotype composition analysis.

HTML plots and summary text file. An heatmap in PDF format. An Alpha and a Beta diversity plot in HTML and PDF format.

A fasta directory with all fasta for each sample. A file containing the reads from the sequencer. A metaFile containing information about the samples.

Filtered Fasta file. Blast aligned sequences in XML and TXT format. Summary and quality statistics for region. CpG methylation profile matrix. BIOM file with number of occurrences.

Yes

Yes

Yes, quality statistic for each analyzed region.