PT  - JOURNAL ARTICLE
AU  - Elise Coopman
AU  - Marleen Van den Broeck
AU  - Tim De Poorter
AU  - Geert Joris
AU  - Dennis W Dickson
AU  - Mojca Strazisar
AU  - Rosa Rademakers
AU  - Wouter De Coster
TI  - Methylmap: visualization of modified nucleotides for large cohort sizes
AID  - 10.1101/2022.11.28.518239
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.11.28.518239
4099  - http://biorxiv.org/content/early/2022/11/30/2022.11.28.518239.short
4100  - http://biorxiv.org/content/early/2022/11/30/2022.11.28.518239.full
AB  - 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 StatementW.D.C has received free consumables and travel reimbursements from Oxford Nanopore Technologies.