mBin: a methylation-based binning framework for metagenomic SMRT sequencing reads
Project description
mBin overview
mBin: a methylation-based binning framework for metagenomic SMRT sequencing reads
The mBin pipeline is designed to discover the unique signals of DNA methylation in metagenomic SMRT sequencing reads and leverage them for organism binning of assembled contigs or unassembled reads. Because all cellular DNA is modified by the same set of methyltransferases encoded in the genome, DNA methylation signals can be used for binning not just chromosomal sequences, but also extrachromosomal mobile genetic elements like plasmids.
The pipeline consists of four routines:
- buildcontrols: Gets unmethylated IPD values for motifs from whole-genome amplified (WGA) sequencing
- filtermotifs: Identifies methylated motifs in native metagenomic sequencing
- methylprofiles: Creates methylation profiles for sequences using specified motifs
- mapfeatures: Visualizes landscape of methylation features across all sequences
Documentation
For a comprehensive guide on how to install and run mBin, please see the full documentation.
Citations
Beaulaurier J, Zhu S, Deikus G, Mogno I, Zhang XS, Davis-Richardson A, Canepa R, Triplett E, Faith J, Sebra R, Schadt EE, Fang G. Metagenomic binning and association of plasmids with bacterial host genomes using DNA methylation. Nature Biotechnology 36, 61-69 (2018). doi:10.1038/nbt.4037.
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
1.0.0 (2017-06-13)
- First release on PyPI.
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