# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "scProkaR" in publications use:' type: software license: MIT title: 'scProkaR: Microbial Single-Cell RNA-Seq Analysis for Bacterial Systems' version: 0.99.2 doi: 10.32614/CRAN.package.scProkaR abstract: scProkaR provides a SingleCellExperiment-centred workflow for microbial single-cell RNA sequencing data. It standardises bacterial input objects from count matrices, 10x Genomics directories or Seurat objects, and computes prokaryote-specific quality-control metrics such as ribosomal RNA fraction. It performs batch integration with several backends and scores the resulting embeddings with scIB-inspired benchmarking metrics. It also supports pseudobulk differential expression with edgeR and Time Aware Trajectory Analysis (TATA), a time-informed trajectory abstraction for perturbation time courses. authors: - family-names: Zhao given-names: Jinxin email: jinxin.zhao@monash.edu orcid: https://orcid.org/0000-0002-0604-3541 - family-names: Liu given-names: Ning email: ning.liu@adelaide.edu.au repository: https://biocstaging.r-universe.dev repository-code: https://github.com/Monash-Li-Lab/scProkaR commit: 72678d162c6b612cad352f83f5c39cab57b1bb7c url: https://github.com/Monash-Li-Lab/scProkaR date-released: '2026-10-11' contact: - family-names: Zhao given-names: Jinxin email: jinxin.zhao@monash.edu orcid: https://orcid.org/0000-0002-0604-3541