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recount3:大规模 RNA-seq 表达和剪接的摘要和查询。

recount3: summaries and queries for large-scale RNA-seq expression and splicing.

机构信息

Department of Computer Science, Johns Hopkins University, Baltimore, USA.

Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.

出版信息

Genome Biol. 2021 Nov 29;22(1):323. doi: 10.1186/s13059-021-02533-6.

Abstract

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 .

摘要

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7e9/8628444/2eca437050c1/13059_2021_2533_Fig1_HTML.jpg

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