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}
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).