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

Daniel G Bunis; Jared Andrews; Gabriela K Fragiadakis; Trevor D Burt; Marina Sirota

doi:10.1093/bioinformatics/btaa1011

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

Bioinformatics. 2021 Apr 1;36(22-23):5535-5536. doi: 10.1093/bioinformatics/btaa1011.

Authors

Daniel G Bunis^{1

2}, Jared Andrews³, Gabriela K Fragiadakis⁴, Trevor D Burt^{1

5

6}, Marina Sirota^{2

5}

Affiliations

¹ Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, , San Francisco, CA, USA.
² Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
³ Department of Pathology and Immunology, Washington University in St. Louis School of Medicine, St. Louis, MO, USA.
⁴ Department of Medicine, Division of Rheumatology, San Francisco, CA, USA.
⁵ Department of Pediatrics, Division of Neonatology, University of California, San Francisco, San Francisco, CA, USA.
⁶ Department of Pediatrics, Division of Neonatology and the Children's Health and Discovery Initiative, Duke University School of Medicine, Durham, NC, USA.

Abstract

Summary: 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.

Availability and implementation: dittoSeq is an R package available through Bioconductor via an open source MIT license.

Supplementary information: Supplementary data are available at Bioinformatics online.

Abstract

Grants and funding