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miRMaster 2.0:大规模多物种非编码 RNA 测序分析。

miRMaster 2.0: multi-species non-coding RNA sequencing analyses at scale.

机构信息

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

Department of Microbial Natural Products, Helmholtz-Institute for Pharmaceutical Research Saarland (HIPS), Helmholtz Centre for Infection Research (HZI) and Department of Pharmacy, Saarland University, Campus E8 1, 66123 Saarbrücken, Germany.

出版信息

Nucleic Acids Res. 2021 Jul 2;49(W1):W397-W408. doi: 10.1093/nar/gkab268.


DOI:10.1093/nar/gkab268
PMID:33872372
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8262700/
Abstract

Analyzing all features of small non-coding RNA sequencing data can be demanding and challenging. To facilitate this process, we developed miRMaster. After the analysis of over 125 000 human samples and 1.5 trillion human small RNA reads over 4 years, we present miRMaster 2 with a wide range of updates and new features. We extended our reference data sets so that miRMaster 2 now supports the analysis of eight species (e.g. human, mouse, chicken, dog, cow) and 10 non-coding RNA classes (e.g. microRNAs, piRNAs, tRNAs, rRNAs, circRNAs). We also incorporated new downstream analysis modules such as batch effect analysis or sample embeddings using UMAP, and updated annotation data bases included by default (miRBase, Ensembl, GtRNAdb). To accommodate the increasing popularity of single cell small-RNA sequencing data, we incorporated a module for unique molecular identifier (UMI) processing. Further, the output tables and graphics have been improved based on user feedback and new output formats that emerged in the community are now supported (e.g. miRGFF3). Finally, we integrated differential expression analysis with the miRNA enrichment analysis tool miEAA. miRMaster is freely available at https://www.ccb.uni-saarland.de/mirmaster2.

摘要

分析小非编码 RNA 测序数据的所有特征可能既要求高又具有挑战性。为了方便这一过程,我们开发了 miRMaster。在对超过 125000 个人类样本和超过 4 年的 1.5 万亿个人类小 RNA 读数进行分析后,我们推出了 miRMaster 2,它具有广泛的更新和新功能。我们扩展了参考数据集,因此 miRMaster 2 现在支持 8 个物种(例如人类、小鼠、鸡、狗、牛)和 10 个非编码 RNA 类(例如 microRNAs、piRNAs、tRNAs、rRNAs、circRNAs)的分析。我们还整合了新的下游分析模块,如使用 UMAP 的批次效应分析或样本嵌入,以及更新默认包含的注释数据库(miRBase、Ensembl、GtRNAdb)。为了适应单细胞小 RNA 测序数据日益普及的趋势,我们整合了一个用于独特分子标识符(UMI)处理的模块。此外,根据用户反馈改进了输出表和图形,现在支持新出现的社区输出格式(例如 miRGFF3)。最后,我们将差异表达分析与 miRNA 富集分析工具 miEAA 集成在一起。miRMaster 可在 https://www.ccb.uni-saarland.de/mirmaster2 上免费获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/a412f33c9181/gkab268fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/c66b1aa88302/gkab268gra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/3ef69e59511b/gkab268fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/9f3786726980/gkab268fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/a84039b30fb9/gkab268fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/a412f33c9181/gkab268fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/c66b1aa88302/gkab268gra1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/3ef69e59511b/gkab268fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/9f3786726980/gkab268fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/a84039b30fb9/gkab268fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95d/8262700/a412f33c9181/gkab268fig4.jpg

相似文献

[1]
miRMaster 2.0: multi-species non-coding RNA sequencing analyses at scale.

Nucleic Acids Res. 2021-7-2

[2]
miRSwitch: detecting microRNA arm shift and switch events.

Nucleic Acids Res. 2020-7-2

[3]
miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems.

Nucleic Acids Res. 2020-7-2

[4]
miEAA 2023: updates, new functional microRNA sets and improved enrichment visualizations.

Nucleic Acids Res. 2023-7-5

[5]
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Nucleic Acids Res. 2017-9-6

[6]
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Bioinformatics. 2013-12-3

[7]
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PLoS One. 2020-5-28

[8]
Hybridization-based reconstruction of small non-coding RNA transcripts from deep sequencing data.

Nucleic Acids Res. 2012-6-16

[9]
miEAA: microRNA enrichment analysis and annotation.

Nucleic Acids Res. 2016-7-8

[10]
Unification of miRNA and isomiR research: the mirGFF3 format and the mirtop API.

Bioinformatics. 2020-2-1

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[3]
A spatio-temporal brain miRNA expression atlas identifies sex-independent age-related microglial driven miR-155-5p increase.

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[4]
Profiling the cell-specific small non-coding RNA transcriptome of the human placenta.

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[5]
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[6]
A spatio-temporal brain miRNA expression atlas identifies sex-independent age-related microglial driven miR-155-5p increase.

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[7]
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[9]
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[10]
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本文引用的文献

[1]
Changes in Retinal Structure and Ultrastructure in the Aged Mice Correlate With Differences in the Expression of Selected Retinal miRNAs.

Front Pharmacol. 2021-1-13

[2]
Encyclopedia of tools for the analysis of miRNA isoforms.

Brief Bioinform. 2021-7-20

[3]
CoolMPS: evaluation of antibody labeling based massively parallel non-coding RNA sequencing.

Nucleic Acids Res. 2021-1-25

[4]
Transfer RNA fragments replace microRNA regulators of the cholinergic poststroke immune blockade.

Proc Natl Acad Sci U S A. 2020-12-22

[5]
HumiR: Web Services, Tools and Databases for Exploring Human microRNA Data.

Biomolecules. 2020-11-20

[6]
RNAcentral 2021: secondary structure integration, improved sequence search and new member databases.

Nucleic Acids Res. 2021-1-8

[7]
A mouse tissue atlas of small noncoding RNA.

Proc Natl Acad Sci U S A. 2020-9-25

[8]
miEAA 2.0: integrating multi-species microRNA enrichment analysis and workflow management systems.

Nucleic Acids Res. 2020-7-2

[9]
miRSwitch: detecting microRNA arm shift and switch events.

Nucleic Acids Res. 2020-7-2

[10]
Machine Learning to Detect Alzheimer's Disease from Circulating Non-coding RNAs.

Genomics Proteomics Bioinformatics. 2019-12-4

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