arXiv:2510.23783v1 Announce Type: new
Abstract: DNA cytosine methylation is a critical epigenetic mark regulating gene expression and thus playing an important role in development and differentiation across eukaryotes. Existing tools for high-throughput methylation analysis often lack cross-species flexibility or require command-line expertise. We present Methylator, a novel, end-to-end DNA methylation analysis framework integrated into the Galaxy platform, enabling accessible DNA methylation analysis for mammals and plants. Methylator supports analyses from data obtained using diverse protocols like WGBS, RRBS, and PBAT and handles all contexts of DNA methylation (CpG, CHG, and CHH). The Methylator framework includes quality control, alignment, methylation calling, differential analysis, and functional analysis through reproducible, user-friendly workflows. Its unique Dirty-Harry alignment method enhances mapping efficiency, while a Shiny-based interface allows for interactive, publication-ready visualizations. Methylator is freely available, offering researchers a versatile, user-friendly solution for epigenomic studies.
Fast Approximation Algorithm for Non-Monotone DR-submodular Maximization under Size Constraint
arXiv:2511.02254v1 Announce Type: cross Abstract: This work studies the non-monotone DR-submodular Maximization over a ground set of $n$ subject to a size constraint $k$. We