TADA: taxonomy-aware dataset aggregator

Author:

Hägglund Emil1ORCID,Andersson Siv G E1ORCID,Guy Lionel2ORCID

Affiliation:

1. Molecular Evolution, Department of Cell and Molecular Biology, Science for Life Laboratory, Biomedical Centre, Uppsala University , SE-751 24 Uppsala, Sweden

2. Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Biomedical Centre, Uppsala University , SE-751 23 Uppsala, Sweden

Abstract

Abstract Summary The 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.

Funder

Swedish Research Council

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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