PreprintCC BYbioRxiv
ATACofthesnake: A scalable framework for analyzing multifactorial and time course chromatin accessibility data
- 11. Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
Abstract
Advances in sample extraction techniques, improvement of library preparation methods and the dramatic reduction in sequencing costs have made complex, multifactorial experimental design the de facto standard in epigenomic studies. In contrast to the plethora of tools, workflows and libraries available to analyze gene expression data, consolidated workflows for chromatin accessibility data are lacking and analysis of such data often occurs on an ad hoc basis. Here, a scalable end-to-end workflow, ATACofthesnake, is presented that simplifies analysis of multifactorial chromatin accessibility data considerably and provides a newly created framework to handle time series data reproducibly.
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BibTeX
@misc{deboutte2026atacofthesnake,
title = {{ATACofthesnake: A scalable framework for analyzing multifactorial and time course chromatin accessibility data}},
author = {W. Deboutte and A. Lenaerts and A. Salatino and T. Manke},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.18.752590},
url = {https://www.biorxiv.org/content/10.64898/2026.09.18.752590v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - ATACofthesnake: A scalable framework for analyzing multifactorial and time course chromatin accessibility data
AU - W. Deboutte
AU - A. Lenaerts
AU - A. Salatino
AU - T. Manke
PY - 2026
DA - 2026/09/18
PB - bioRxiv
DO - 10.64898/2026.09.18.752590
UR - https://www.biorxiv.org/content/10.64898/2026.09.18.752590v1
AB - Advances in sample extraction techniques, improvement of library preparation methods and the dramatic reduction in sequencing costs have made complex, multifactorial experimental design the de facto standard in epigenomic studies. In contrast to the plethora of tools, workflows and libraries available to analyze gene expression data, consolidated workflows for chromatin accessibility data are lacking and analysis of such data often occurs on an ad hoc basis. Here, a scalable end-to-end workflow, ATACofthesnake, is presented that simplifies analysis of multifactorial chromatin accessibility data considerably and provides a newly created framework to handle time series data reproducibly.
ER -