LEMMIv2: benchmarking framework for metagenomic and 16S amplicon profilers with a catalogue of evaluated tools

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Authors: Mathieu Seppey, Andres Benavides, Matthew Berkeley, Mosè Manni, Evgeny M. Zdobnov
Cited by: 0
References: 46

Abstract

Abstract Metagenomics enables culture-independent investigation of microbial communities without prior knowledge of sample composition. However, sequence analysis is complex, and many computational strategies exist. Selecting among them is challenging, and novel tools face visibility issues. Here, we present LEMMIv2, an updated platform for continuous benchmarking of metagenomic profilers, providing developers with impartial benchmarks and offering users a catalogue of evaluated tools. New features include support for alternative taxonomies and long-read applications, and a standalone pipeline for local benchmarking. We also extend the approach to 16S amplicon profiling with LEMMI16S, which evaluates methods across several reference databases.

Fields of Study & Subjects

Gene expression and cancer classification Metabolomics and Mass Spectrometry Studies

Publication details

Journal / source
Genome biology
Publisher
Springer Science and Business Media LLC
Volume
27
Issue
1
Publication date
28 April 2026
Language
EN