R and several packages are post mortem damage plotting, modeling, and rescaling. Refers to the detailed instructions on the dedicated page.
Introduction
Complete documentation, instructions, examples, screenshots and FAQ are available at this address.
mapDamage2 is a computational framework written in Python3 and R, which tracks and quantifies DNA damage patterns
among ancient DNA sequencing reads generated by Next-Generation Sequencing platforms.
mapDamage
Installation
mapDamage can be installed via pip:
R and several packages are post mortem damage plotting, modeling, and rescaling. Refers to the detailed instructions on the dedicated page.
Introduction
Complete documentation, instructions, examples, screenshots and FAQ are available at this address.
mapDamage2 is a computational framework written in Python3 and R, which tracks and quantifies DNA damage patterns among ancient DNA sequencing reads generated by Next-Generation Sequencing platforms.
mapDamagewas developed at the Centre for GeoGenetics by the Orlando Group.Citation
If you use this program, please cite the following publication: Jónsson H, Ginolhac A, Schubert M, Johnson P, Orlando L. mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters. Bioinformatics 23rd April 2013. doi: 10.1093/bioinformatics/btt193
The original
mapDamage1was published in the following article: Ginolhac A, Rasmussen M, Gilbert MT, Willerslev E, Orlando L. mapDamage: testing for damage patterns in ancient DNA sequences. Bioinformatics 2011 27(15):2153-5 http://bioinformatics.oxfordjournals.org/content/27/15/2153Contact
Please report bugs and suggest possible improvements on GitHub: https://github.com/ginolhac/mapDamage/issues/new