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

Genome Biol. 22:301 (2021)
Verlagsversion DOI
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Schlagwörter Chromatin Accessibility
ISSN (print) / ISBN 1474-760X
e-ISSN 1465-6906
Zeitschrift Genome Biology
Quellenangaben Band: 22, Heft: 1, Seiten: , Artikelnummer: 301 Supplement: ,
Verlag BioMed Central
Verlagsort Campus, 4 Crinan St, London N1 9xw, England
Begutachtungsstatus Peer reviewed
Förderungen Projekt DEAL
Bavarian Ministry of Science and the Arts