
This Zenodo record contains the custom analysis code associated with the manuscript entitled “Comprehensive profiling of CRISPR/dCas9 epigenome editors indicates a complex link between on and off target effects”. The archived materials comprise the scripts and computational workflows used to process and analyze EPIC DNA methylation array data, targeted methyl sequencing (TMS), and RNA-sequencing datasets generated in the study. All analysis pipelines are publicly maintained in the following GitLab repository:https://gitlab.com/jagodiclab/epigenomeediting The code archived here corresponds to the version used for the analyses reported in the manuscript and is deposited on Zenodo to ensure long-term accessibility and to provide a persistent, citable DOI. The sequencing datasets analyzed using these pipelines are publicly available in the Gene Expression Omnibus (GEO) under the following accession numbers: GSE297385 (EPIC) GSE297389 (TMS1_day3) GSE297430 (RNAseq1_day3) GSE297432 (TMS2_days3, 7, 14, 21, 30) GSE297435 (RNAseq2_days3, 7, 30)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
