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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "cytome" in publications use:'
type: software
license: MIT
title: 'cytome: Native R Reader and Streaming Interface for the Cytome Single-Cell
  Store'
version: 0.1.3
doi: 10.32614/CRAN.package.cytome
abstract: Reads .cytome files - a SQLite-backed single-cell store - natively in R
  with zero Python dependency. A .cytome is a plain SQLite database, so the structural
  data (cells / genes / peaks, embeddings, graphs, fragments) is read with DBI; the
  chunked, compressed CSR count matrices are decoded via a small Rcpp layer (lz4-block
  / zstd / zlib). Constructs a SingleCellExperiment or a Seurat object, and provides
  cytome-native chunk streaming for out-of-core analysis without loading the full
  matrix. Part of the PIASO toolkit for single-cell omics (<https://piaso.org>).
authors:
- family-names: Dai
  given-names: Min
  email: dai@broadinstitute.org
repository: https://genecell.r-universe.dev
repository-code: https://github.com/genecell/cytome-r
commit: 04563025b39997e34c502aecc5ea0df3977ecbd2
url: https://piaso.org
date-released: '2026-09-29'
contact:
- family-names: Dai
  given-names: Min
  email: dai@broadinstitute.org