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.

中文翻译：

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超过 1000 种工具揭示了单细胞 RNA-seq 分析领域的趋势

近年来，单细胞 RNA 测序 (scRNA-seq) 技术、数据集和分析方法发生了革命。自 2016 年以来，scRNA-tools 数据库已对用于分析 scRNA-seq 数据的软件工具进行了编目。随着数据库中工具数量超过 1000 个，我们提供了有关项目和该领域状态的最新信息。这些数据显示了该领域的演变以及焦点从在连续轨迹上排序细胞到集成多个样本并利用参考数据集的转变。我们还发现，开放科学实践会提高开发人员的认可度，并有助于加速该领域的发展。