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# CITATION 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 "SCArray.sat" in publications use:'
type: software
license: GPL-3.0-only
title: 'SCArray.sat: Large-scale single-cell RNA-seq data analysis using GDS files
  and Seurat'
version: 1.5.0
abstract: Extends the Seurat classes and functions to support Genomic Data Structure
  (GDS) files as a DelayedArray backend for data representation. It relies on the
  implementation of GDS-based DelayedMatrix in the SCArray package to represent single
  cell RNA-seq data. The common optimized algorithms leveraging GDS-based and single
  cell-specific DelayedMatrix (SC_GDSMatrix) are implemented in the SCArray package.
  SCArray.sat introduces a new SCArrayAssay class (derived from the Seurat Assay),
  which wraps raw counts, normalized expressions and scaled data matrix based on GDS-specific
  DelayedMatrix. It is designed to integrate seamlessly with the Seurat package to
  provide common data analysis in the SeuratObject-based workflow. Compared with Seurat,
  SCArray.sat significantly reduces the memory usage without downsampling and can
  be applied to very large datasets.
authors:
- family-names: Zheng
  given-names: Xiuwen
  email: xiuwen.zheng@abbvie.com
  orcid: https://orcid.org/0000-0002-1390-0708
preferred-citation:
  type: generic
  title: Large-scale single-cell RNA-seq data analysis using GDS files and Seurat
  authors:
  - family-names: Zheng
    given-names: Xiuwen
    email: xiuwen.zheng@abbvie.com
    orcid: https://orcid.org/0000-0002-1390-0708
  year: '2023'
  url: http://www.bioconductor.org/packages/SCArray.sat
repository: https://bioc.r-universe.dev
repository-code: https://github.com/AbbVie-ComputationalGenomics/SCArray
url: https://github.com/AbbVie-ComputationalGenomics/SCArray
date-released: '2024-04-24'
contact:
- family-names: Zheng
  given-names: Xiuwen
  email: xiuwen.zheng@abbvie.com
  orcid: https://orcid.org/0000-0002-1390-0708