dittoSeq: universal user-friendly single-cell and bulk RNA sequencing visualization toolkit

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  • Daniel G Bunis
    Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research , , San Francisco, CA, USA
  • Jared Andrews
    Department of Pathology and Immunology, Washington University in St. Louis School of Medicine , St. Louis, MO, USA
  • Gabriela K Fragiadakis
    Department of Medicine, Division of Rheumatology , San Francisco, CA, USA
  • Trevor D Burt
    Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research , , San Francisco, CA, USA
  • Marina Sirota
    Bakar Computational Health Sciences Institute, University of California, San Francisco , San Francisco, CA, USA
  • Valencia Alfonso
    editor

Description

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Summary</jats:title> <jats:p>A visualization suite for major forms of bulk and single-cell RNAseq data in R. dittoSeq is color blindness-friendly by default, robustly documented to power ease-of-use and allows highly customizable generation of both daily-use and publication-quality figures.</jats:p> </jats:sec> <jats:sec> <jats:title>Availability and implementation</jats:title> <jats:p>dittoSeq is an R package available through Bioconductor via an open source MIT license.</jats:p> </jats:sec> <jats:sec> <jats:title>Supplementary information</jats:title> <jats:p>Supplementary data are available at Bioinformatics online.</jats:p> </jats:sec>

Journal

  • Bioinformatics

    Bioinformatics 36 (22-23), 5535-5536, 2020-12-01

    Oxford University Press (OUP)

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