ArticleFrontiers in bioinformatics2026
Reference-free k-mer based dissimilarity measures for metagenomes comparison.
Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Motivation: Metagenomics plays a crucial role in unraveling the relationship between microbial communities and the environment in which they live, allowing the development of food and environmental control techniques. Similarly, the study of microbial environments within the human body plays a crucial role towards precision medicine. In these contexts, the problem of metagenomic samples comparison is among the most challenging from the computational point of view due to the size of the datasets and to the incompleteness of microbial databases. Thus, the ability to define and efficiently compute reference-free dissimilarity measures is key to the development of effective and practical tools for metagenomes comparison. Results: In this work, we present a systematic experimental validation of reference-free
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