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sRNAbench 和 sRNAtoolbox 2022 更新:用于模型和非模型生物的 miRNA 和 sncRNA 精确分析。

sRNAbench and sRNAtoolbox 2022 update: accurate miRNA and sncRNA profiling for model and non-model organisms.

机构信息

Chair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.

Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, VU University, Amsterdam 1081HV, Netherlands.

出版信息

Nucleic Acids Res. 2022 Jul 5;50(W1):W710-W717. doi: 10.1093/nar/gkac363.

Abstract

The NCBI Sequence Read Archive currently hosts microRNA sequencing data for over 800 different species, evidencing the existence of a broad taxonomic distribution in the field of small RNA research. Simultaneously, the number of samples per miRNA-seq study continues to increase resulting in a vast amount of data that requires accurate, fast and user-friendly analysis methods. Since the previous release of sRNAtoolbox in 2019, 55 000 sRNAbench jobs have been submitted which has motivated many improvements in its usability and the scope of the underlying annotation database. With this update, users can upload an unlimited number of samples or import them from Google Drive, Dropbox or URLs. Micro- and small RNA profiling can now be carried out using high-confidence Metazoan and plant specific databases, MirGeneDB and PmiREN respectively, together with genome assemblies and libraries from 441 Ensembl species. The new results page includes straightforward sample annotation to allow downstream differential expression analysis with sRNAde. Unassigned reads can also be explored by means of a new tool that performs mapping to microbial references, which can reveal contamination events or biologically meaningful findings as we describe in the example. sRNAtoolbox is available at: https://arn.ugr.es/srnatoolbox/.

摘要

NCBI Sequence Read Archive 目前存储了超过 800 个不同物种的 miRNA 测序数据,这证明了 miRNA 研究领域具有广泛的分类学分布。同时,每个 miRNA-seq 研究的样本数量持续增加,导致需要准确、快速和用户友好的分析方法来处理大量数据。自 2019 年 sRNAtoolbox 上次发布以来,已经提交了 55000 个 sRNAbench 作业,这促使我们对其可用性和基础注释数据库的范围进行了许多改进。通过此更新,用户可以上传无限数量的样本,或者从 Google Drive、Dropbox 或 URL 导入样本。现在可以使用高可信度的后生动物和植物专用数据库 MirGeneDB 和 PmiREN,以及来自 441 个 Ensembl 物种的基因组组装和文库,进行 microRNA 和 small RNA 分析。新的结果页面包括简单的样本注释,以便使用 sRNAde 进行下游差异表达分析。未分配的读取也可以通过一个新工具进行映射到微生物参考,这可以揭示污染事件或有生物学意义的发现,正如我们在示例中所描述的。sRNAtoolbox 可在:https://arn.ugr.es/srnatoolbox/ 获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f7e/9252802/b8fbfee04d34/gkac363figgra1.jpg

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