
Núria Montala developed a comprehensive Shiny dashboard for microbiome data analysis in the egenomics/agb2025 repository, focusing on end-to-end workflows for taxonomic profiling, diversity analysis, and metadata exploration. She implemented dynamic user interfaces and automated visualization suites using R, R Shiny, and Python, enabling researchers to generate, compare, and export alpha and beta diversity plots with flexible options. Her work included integrating rarefaction for sample normalization, enhancing deployment reliability, and expanding documentation to streamline onboarding. By unifying data processing, visualization, and reporting, Núria delivered a scalable, reproducible platform that accelerates insight generation and supports robust microbiome research.

June 2025 (2025-06) monthly summary for egenomics/agb2025 focused on delivering end-to-end improvements to diversity visualization, app deployment readiness, and developer/user onboarding. Key work centered on automating and unifying diversity visualizations for reports, improving deployment reliability, and clarifying workflows for new users and contributors.
June 2025 (2025-06) monthly summary for egenomics/agb2025 focused on delivering end-to-end improvements to diversity visualization, app deployment readiness, and developer/user onboarding. Key work centered on automating and unifying diversity visualizations for reports, improving deployment reliability, and clarifying workflows for new users and contributors.
In May 2025, delivered a comprehensive Shiny dashboard (egenomics/agb2025) for microbiome data analysis, covering data upload, taxonomic profiling, and alpha/beta diversity analyses, plus metadata exploration and report generation. Introduced a Lifestyle tab and a rich visualization suite with heatmaps and ordination plots, dynamic UI for diversity comparisons, and improved download and statistical testing capabilities. The work emphasizes a seamless end-to-end analytics workflow, enhanced UX, and a scalable foundation for future features.
In May 2025, delivered a comprehensive Shiny dashboard (egenomics/agb2025) for microbiome data analysis, covering data upload, taxonomic profiling, and alpha/beta diversity analyses, plus metadata exploration and report generation. Introduced a Lifestyle tab and a rich visualization suite with heatmaps and ordination plots, dynamic UI for diversity comparisons, and improved download and statistical testing capabilities. The work emphasizes a seamless end-to-end analytics workflow, enhanced UX, and a scalable foundation for future features.
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