Department of Computer Science, Johns Hopkins University, Baltimore, USA.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Genome Biol. 2021 Nov 29;22(1):323. doi: 10.1186/s13059-021-02533-6.
We present recount3, a resource consisting of over 750,000 publicly available human and mouse RNA sequencing (RNA-seq) samples uniformly processed by our new Monorail analysis pipeline. To facilitate access to the data, we provide the recount3 and snapcount R/Bioconductor packages as well as complementary web resources. Using these tools, data can be downloaded as study-level summaries or queried for specific exon-exon junctions, genes, samples, or other features. Monorail can be used to process local and/or private data, allowing results to be directly compared to any study in recount3. Taken together, our tools help biologists maximize the utility of publicly available RNA-seq data, especially to improve their understanding of newly collected data. recount3 is available from http://rna.recount.bio .
我们展示了 recount3,这是一个由超过 75 万个公开可用的人类和小鼠 RNA 测序 (RNA-seq) 样本组成的资源,这些样本由我们新的 Monorail 分析管道统一处理。为了方便访问数据,我们提供了 recount3 和 snapcount R/Bioconductor 包以及补充的网络资源。使用这些工具,可以下载研究级别的摘要,或者查询特定的外显子-内含子连接、基因、样本或其他特征。Monorail 可用于处理本地和/或私人数据,允许将结果直接与 recount3 中的任何研究进行比较。总之,我们的工具帮助生物学家最大限度地利用公开可用的 RNA-seq 数据,特别是提高他们对新收集数据的理解。recount3 可从 http://rna.recount.bio 获得。