{"data":{"event":{"id":"3be263b2-a6fe-4fa1-b2be-cc0c8e3fb32e","slug":"rsearch-an-r-interface-to-vsearch-supporting-visualization-and-parameter-cdabc6bc90","title":"\n\nRsearch: An R interface to VSEARCH supporting visualization and parameter tuning \n\n","short_summary":"Background: We present Rsearch, an R package that integrates the core functionality of VSEARCH into the R environment and extends it with visualization, parameter optimization, and conversion tools for compatibility with other R packages. By making VSEARCH directly accessible in R, Rsearch lowers the barrier for using VSEARCH and integrating it with downstream statistical and ecological analyses. Results: Comparative analysis with DADA2 using mock community data showed that both pipelines produced relative abundance profiles highly correlated with the expected composition. Compared to DADA2, R","full_description":"Background: We present Rsearch, an R package that integrates the core functionality of VSEARCH into the R environment and extends it with visualization, parameter optimization, and conversion tools for compatibility with other R packages. By making VSEARCH directly accessible in R, Rsearch lowers the barrier for using VSEARCH and integrating it with downstream statistical and ecological analyses. Results: Comparative analysis with DADA2 using mock community data showed that both pipelines produced relative abundance profiles highly correlated with the expected composition. Compared to DADA2, Rsearch identified fewer OTUs, but these were more consistently prevalent across samples. In contrast, DADA2 appeared to overestimate diversity by splitting sequences into an excessive number of OTUs. In terms of computational performance, vs_cluster_unoise implemented in Rsearch was the fastest of all the clustering and denoising methods, while other Rsearch functions showed runtimes comparable to DADA2. In addition, Rsearch provides functions for systematic optimization of trimming and filtering parameters, an important feature for users who may not otherwise have a clear strategy for parameter selection. The package also includes functions to ensure compatibility with other R packages such as phyloseq. Conclusions: Rsearch offers a practical and accessible framework for analysing metabarcoding data within a single analytical environment and is freely available from The Comprehensive R Archive Network, with the development version hosted on GitHub (https://github.com/CassandraHjo/Rsearch).\n\nUpdate (2026-09-21): \n\nMakeMyFigure: An Interactive Platform for Reproducible Quantitative Data Visualization, Analysis, and Scientific Figure Construction \n\n. 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Attribution stays unspecified until a release is identified.","attribution_confidence":"medium","first_used_date":"2026-09-16T00:00:00.000Z","model_version_if_known":null,"review_status":"approved","created_at":"2026-09-16T22:00:51.217Z","model_slug":"unspecified-ai-system","model_name":"Unspecified AI system","identity_class":"unknown","is_internal":false,"family_name":"Unspecified","family_slug":"unknown-unspecified","organization_name":"Unknown","organization_slug":"unknown"}],"sources":[{"id":"84c1d9ba-c35d-48aa-aa8c-8b3f6bf715cf","event_id":"3be263b2-a6fe-4fa1-b2be-cc0c8e3fb32e","url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.750626v1?rss=1\n","canonical_url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.750626v1?rss=1\n","source_type":"preprint","publisher":"bioRxiv","author":null,"publication_date":"2026-09-16T00:00:00.000Z","retrieved_at":"2026-09-16T22:00:51.223Z","title":"\n\nRsearch: An R interface to VSEARCH supporting visualization and parameter tuning \n\n","excerpt":"Background: We present Rsearch, an R package that integrates the core functionality of VSEARCH into the R environment and extends it with visualization, parameter optimization, and conversion tools for compatibility with other R packages. 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