Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape

Zappia L, Theis FJ (2021)

Publication Type: Journal article, Review article

Publication year: 2021

Journal

Genome Biology

Book Volume: 22

Article Number: 301

Journal Issue: 1

DOI: 10.1186/s13059-021-02519-4

Abstract

Recent years have seen a revolution in single-cell RNA-sequencing (scRNA-seq) technologies, datasets, and analysis methods. Since 2016, the scRNA-tools database has cataloged software tools for analyzing scRNA-seq data. With the number of tools in the database passing 1000, we provide an update on the state of the project and the field. This data shows the evolution of the field and a change of focus from ordering cells on continuous trajectories to integrating multiple samples and making use of reference datasets. We also find that open science practices reward developers with increased recognition and help accelerate the field.

Involved external institutions

Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich DE Germany (DE)

How to cite

APA:

Zappia, L., & Theis, F.J. (2021). Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape. Genome Biology, 22(1). https://doi.org/10.1186/s13059-021-02519-4

MLA:

Zappia, Luke, and Fabian J. Theis. "Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape." Genome Biology 22.1 (2021).

BibTeX: Download