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Published October 28, 2026 | Version 3.1.0 nf-core/ampliseq version 3.1.0 - 2026-10-28 SINTAX now accepts the same taxonomic reference databases as DADA2 Consolidation of taxonomic classification can be now done across DADA2, SINTAX and VSEARCH-LCA Fixed MIDORI-CO1 taxonomic reference for SINTAX & VSEARCH_LCA and removed it for DADA2 DADA2 addSpecies with SILVA 144 and Savont now need fewer computational resources The pipeline now also works with Nextflow 26.10 (before 26.04 only) #1123 -...
Working in Data Science, it can be hard to share insights from complex datasets using only static figures. All the facets that describe the shape and meaning of interesting data are not always captured in a handful of pre-generated figures. While we have powerful technologies available for presenting interactive figures — where a viewer can rotate, filter, zoom, and generally explore complex data — they always come with tradeoffs.
Writing and delivering interactive Python apps to non-computational users No matter what type of organization you work in, people working in data science have a spectrum of computational skills and background. One of the biggest challenges for computationally-savvy researchers is how to most effectively deliver useful tools to their less-computational colleagues.
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