RiboSnake - 用于 16S rRNA 基因微生物组分析的用户友好型、稳健型、可重现型、多用途和文档丰富型管道。

GigaByte (Hong Kong, China) Pub Date : 2024-08-31 eCollection Date: 2024-01-01 DOI:10.46471/gigabyte.132
Ann-Kathrin Dörr, Josefa Welling, Adrian Dörr, Jule Gosch, Hannah Möhlen, Ricarda Schmithausen, Jan Kehrmann, Folker Meyer, Ivana Kraiselburd
{"title":"RiboSnake - 用于 16S rRNA 基因微生物组分析的用户友好型、稳健型、可重现型、多用途和文档丰富型管道。","authors":"Ann-Kathrin Dörr, Josefa Welling, Adrian Dörr, Jule Gosch, Hannah Möhlen, Ricarda Schmithausen, Jan Kehrmann, Folker Meyer, Ivana Kraiselburd","doi":"10.46471/gigabyte.132","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Next-generation sequencing for microbial communities has become a standard technique. However, the computational analysis remains resource-intensive. With declining costs and growing adoption of sequencing-based methods in many fields, validated, fully automated, reproducible and flexible pipelines are increasingly essential in various scientific fields.</p><p><strong>Results: </strong>We present RiboSnake, a validated, automated, reproducible QIIME2-based pipeline implemented in Snakemake for analysing <i>16S rRNA</i> gene amplicon sequencing data. RiboSnake includes pre-packaged validated parameter sets optimized for different sample types, from environmental samples to patient data. The configuration packages can be easily adapted and shared, requiring minimal user input.</p><p><strong>Conclusion: </strong>RiboSnake is a new alternative for researchers employing <i>16S rRNA</i> gene amplicon sequencing and looking for a customizable and user-friendly pipeline for microbiome analyses with <i>in vitro</i> validated settings. By automating the analysis with validated parameters for diverse sample types, RiboSnake enhances existing methods significantly. The workflow repository can be found on GitHub (https://github.com/IKIM-Essen/RiboSnake).</p>","PeriodicalId":73157,"journal":{"name":"GigaByte (Hong Kong, China)","volume":"2024 ","pages":"gigabyte132"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448241/pdf/","citationCount":"0","resultStr":"{\"title\":\"RiboSnake - a user-friendly, robust, reproducible, multipurpose and documentation-extensive pipeline for 16S rRNA gene microbiome analysis.\",\"authors\":\"Ann-Kathrin Dörr, Josefa Welling, Adrian Dörr, Jule Gosch, Hannah Möhlen, Ricarda Schmithausen, Jan Kehrmann, Folker Meyer, Ivana Kraiselburd\",\"doi\":\"10.46471/gigabyte.132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Next-generation sequencing for microbial communities has become a standard technique. However, the computational analysis remains resource-intensive. With declining costs and growing adoption of sequencing-based methods in many fields, validated, fully automated, reproducible and flexible pipelines are increasingly essential in various scientific fields.</p><p><strong>Results: </strong>We present RiboSnake, a validated, automated, reproducible QIIME2-based pipeline implemented in Snakemake for analysing <i>16S rRNA</i> gene amplicon sequencing data. RiboSnake includes pre-packaged validated parameter sets optimized for different sample types, from environmental samples to patient data. The configuration packages can be easily adapted and shared, requiring minimal user input.</p><p><strong>Conclusion: </strong>RiboSnake is a new alternative for researchers employing <i>16S rRNA</i> gene amplicon sequencing and looking for a customizable and user-friendly pipeline for microbiome analyses with <i>in vitro</i> validated settings. By automating the analysis with validated parameters for diverse sample types, RiboSnake enhances existing methods significantly. The workflow repository can be found on GitHub (https://github.com/IKIM-Essen/RiboSnake).</p>\",\"PeriodicalId\":73157,\"journal\":{\"name\":\"GigaByte (Hong Kong, China)\",\"volume\":\"2024 \",\"pages\":\"gigabyte132\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11448241/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GigaByte (Hong Kong, China)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46471/gigabyte.132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GigaByte (Hong Kong, China)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46471/gigabyte.132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:微生物群落的新一代测序已成为一项标准技术。然而,计算分析仍然是资源密集型的。随着成本的下降和许多领域越来越多地采用基于测序的方法,经过验证的、全自动的、可重现的和灵活的管道在各个科学领域越来越重要:我们介绍了 RiboSnake,这是一种基于 QIIME2 的经过验证、自动化、可重现的管道,在 Snakemake 中实现,用于分析 16S rRNA 基因扩增片段测序数据。RiboSnake 包括针对不同样本类型(从环境样本到患者数据)优化的预打包验证参数集。这些配置包可以很容易地调整和共享,只需极少的用户输入:RiboSnake 是采用 16S rRNA 基因扩增片段测序的研究人员的新选择,他们正在寻找一种可定制且用户友好的管道,利用体外验证设置进行微生物组分析。RiboSnake 可针对不同类型的样本使用经过验证的参数进行自动化分析,从而大大增强了现有方法的功能。可在 GitHub(https://github.com/IKIM-Essen/RiboSnake)上找到该工作流程的资源库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
RiboSnake - a user-friendly, robust, reproducible, multipurpose and documentation-extensive pipeline for 16S rRNA gene microbiome analysis.

Background: Next-generation sequencing for microbial communities has become a standard technique. However, the computational analysis remains resource-intensive. With declining costs and growing adoption of sequencing-based methods in many fields, validated, fully automated, reproducible and flexible pipelines are increasingly essential in various scientific fields.

Results: We present RiboSnake, a validated, automated, reproducible QIIME2-based pipeline implemented in Snakemake for analysing 16S rRNA gene amplicon sequencing data. RiboSnake includes pre-packaged validated parameter sets optimized for different sample types, from environmental samples to patient data. The configuration packages can be easily adapted and shared, requiring minimal user input.

Conclusion: RiboSnake is a new alternative for researchers employing 16S rRNA gene amplicon sequencing and looking for a customizable and user-friendly pipeline for microbiome analyses with in vitro validated settings. By automating the analysis with validated parameters for diverse sample types, RiboSnake enhances existing methods significantly. The workflow repository can be found on GitHub (https://github.com/IKIM-Essen/RiboSnake).

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.60
自引率
0.00%
发文量
0
审稿时长
5 weeks
期刊最新文献
The genome of the sapphire damselfish Chrysiptera cyanea: a new resource to support further investigation of the evolution of Pomacentrids. Polyploid genome assembly of Cardamine chenopodiifolia. NeuroVar: an open-source tool for the visualization of gene expression and variation data for biomarkers of neurological diseases. Whole-genome re-sequencing of the Baikal seal and other phocid seals for a glimpse into their genetic diversity, demographic history, and phylogeny. Chromosome-level genome assembly and annotation of the crested gecko, Correlophus ciliatus, a lizard incapable of tail regeneration.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1