Molecular Biology and EvolutionBioinformaticsPeer-reviewed journal article
TreeProfiler: Large-scale metadata profiling along gene andspecies trees
Ziqi DengiD, Claudia Sanchis-LópeziD, Ana Hernández-PlazaiD, Adrián DavíniD, Jaime Huerta‐CepasiD
Abstract
Profiling biological traits along gene or species tree topologies is a well-established approach in comparative genomics, widely employed to infer gene function from co-evolutionary patterns (phylogenetic profiling), reconstruct ancestral states, and uncover ecological associations. However, existing profiling tools are typically tailored to specific use cases, have limited scalability for large datasets, and lack robust methods to aggregate or summarize traits at internal tree nodes. Here, we present TreeProfiler, a tool for automated annotation and interactive exploration of hundreds of features along large gene and species trees, with seamless summarization of mapped traits at internal nodes. TreeProfiler supports the profiling of custom continuous and discrete traits, as well as ancestral character reconstruction and phylogenetic signal tests. It also integrates commonly used genomic features, including multiple sequence alignments, protein domain architectures, and functional annotations. We demonstrate TreeProfilers utility beyond traditional phylogenetic profiling by analyzing functional diversification and domain architectures within the pyruvate flavodoxin/ferredoxin oxidoreductase gene family (13,297 genes), and by profiling the relative abundance of 124,295 bacterial and archaeal species across 51 biomes. TreeProfiler is open-source and freely available at https://github.com/compgenomicslab/TreeProfiler.
- organism: bacteria (other)
- assay: protein sequence
- research focus: gene regulatory network inference
- research focus: benchmarking
- research focus: database / resource
- research focus: software / tool
- approach: statistical model
- Citations
- 4
- FWCI
- 4.10
- Field percentile
- top 8%
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