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Methylmap: visualization of modified nucleotides for large cohort sizes

View ORCID ProfileElise Coopman, View ORCID ProfileMarleen Van den Broeck, View ORCID ProfileTim De Poorter, Geert Joris, View ORCID ProfileDennis W Dickson, View ORCID ProfileMojca Strazisar, View ORCID ProfileRosa Rademakers, View ORCID ProfileWouter De Coster
doi: https://doi.org/10.1101/2022.11.28.518239
Elise Coopman
1Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
2Applied and Translational Neurogenomics Group, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Marleen Van den Broeck
1Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
2Applied and Translational Neurogenomics Group, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Tim De Poorter
3Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
4Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Geert Joris
3Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
4Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Dennis W Dickson
5Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
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Mojca Strazisar
3Neuromics Support Facility, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
4Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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Rosa Rademakers
1Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
2Applied and Translational Neurogenomics Group, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
5Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
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Wouter De Coster
1Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
2Applied and Translational Neurogenomics Group, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
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  • For correspondence: decosterwouter@gmail.com
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Summary

Methylmap is a tool developed for visualization of modified nucleotide frequencies per position, especially for large numbers of samples. Various input possibilities are supported, including the standardized BAM/CRAM files containing MM and ML tags.

Availability and implementation Methylmap is written in Python3 and available through PyPI and bioconda. The source code is released under MIT license and can be found at https://github.com/EliseCoopman/methylmap.

Competing Interest Statement

W.D.C has received free consumables and travel reimbursements from Oxford Nanopore Technologies.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted November 30, 2022.
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Methylmap: visualization of modified nucleotides for large cohort sizes
Elise Coopman, Marleen Van den Broeck, Tim De Poorter, Geert Joris, Dennis W Dickson, Mojca Strazisar, Rosa Rademakers, Wouter De Coster
bioRxiv 2022.11.28.518239; doi: https://doi.org/10.1101/2022.11.28.518239
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Methylmap: visualization of modified nucleotides for large cohort sizes
Elise Coopman, Marleen Van den Broeck, Tim De Poorter, Geert Joris, Dennis W Dickson, Mojca Strazisar, Rosa Rademakers, Wouter De Coster
bioRxiv 2022.11.28.518239; doi: https://doi.org/10.1101/2022.11.28.518239

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