ArticleBioinformatics (Oxford, England)2023
TADA: taxonomy-aware dataset aggregator.
Article in Bioinformatics (Oxford, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Phylogenetic and functional characterization of Asgard primases.Molecular biology and evolution · 2026Article
- Phylogeny and Expansion of Serine/Threonine Kinases in Phagocytotic Bacteria in the Phylum Planctomycetota.Genome biology and evolution · 2024Article
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Authors and funding
3 authors.
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Abstract
summaryThe profusion of sequenced genomes across the bacterial and archeal domains offers unprecedented possibilities for phylogenetic and comparative genomic analyses. In general, phylogenetic reconstruction is improved by the use of more data. However, including all available data is (i) not computationally tractable, and (ii) prone to biases, as the abundance of genomes is very unequally distributed over the biological diversity. Thus, in most cases, subsampling taxa to build a phylogeny is necessary. Currently, though, there is no available software to perform that handily. Here we present TADA, a taxonomic-aware dataset selection workflow that allows sampling across user-defined portions of the prokaryotic diversity with variable granularity, while setting constraints on genome quality and balance between branches. AVAILABILITY AND IMPLEMENTATION: TADA is implemented as a snakemake workflow and is freely available at https://github.com/emilhaegglund/TADA.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.