<i>pylifemap</i> : Mapping data onto the tree of life

Abstract The need to visualize data associated with NCBI Taxonomy Identifiers is growing in various biological fields ranging from comparative genomics to metagenomics and metabarcoding, and even for outreach. No tool today allows visualization of such data while still keeping the full vision of the whole taxonomy, possibly causing a biased view of the data at hand. Here we introduce pylifemap , a Python package that allows users to map their own data directly on the interactive taxonomic tree proposed by Lifemap. Through a simple syntax, layers (points, lines, icons, heatmaps, etc.) depicting any type of data are superimposed on the Lifemap basemap, producing an interactive map to inspect biological datasets. The produced visualizations can easily be shared with others through notebooks or standalone HTML files, or exported as static images. We illustrate the utility of pylifemap in the exploration of two contrasting datasets: the IUCN Red List of Threatened Species and the output of a large‐scale environmental metagenomics experiment.

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Publication Details

Journal
Methods in Ecology and Evolution
Published
2026-04-15
DOI
https://doi.org/10.1111/2041-210x.70300
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

pylifemap : Mapping data onto the tree of life

Vincent Navratil, Aurélie Siberchicot, Joaquim Martı́n, Damien M. de Vienne et al.
Methods in Ecology and Evolution
Environmental DNA in Biodiversity Studies
article

pylifemap : Mapping data onto the tree of life

Vincent Navratil, Aurélie Siberchicot, Joaquim Martı́n, Damien M. de Vienne, Cassandra Bompard, Julien Barnier
article en

Abstract

Abstract The need to visualize data associated with NCBI Taxonomy Identifiers is growing in various biological fields ranging from comparative genomics to metagenomics and metabarcoding, and even for outreach. No tool today allows visualization of such data while still keeping the full vision of the whole taxonomy, possibly causing a biased view of the data at hand. Here we introduce pylifemap , a Python package that allows users to map their own data directly on the interactive taxonomic tree proposed by Lifemap. Through a simple syntax, layers (points, lines, icons, heatmaps, etc.) depicting any type of data are superimposed on the Lifemap basemap, producing an interactive map to inspect biological datasets. The produced visualizations can easily be shared with others through notebooks or standalone HTML files, or exported as static images. We illustrate the utility of pylifemap in the exploration of two contrasting datasets: the IUCN Red List of Threatened Species and the output of a large‐scale environmental metagenomics experiment.

Methods in Ecology and Evolution
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Laboratoire de Biométrie et Biologie Evolutive (FR), Institut Français de Bioinformatique (FR), Université Paris 8 (FR), Foundation for Research and Technology Hellas (GR)
Agence Nationale de la Recherche
Openalex Percentile: Top 15%
Environmental DNA in Biodiversity Studies
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