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placement-methods-paper

Accompanying code repository with scripts, programs and data for our papers:

Methods for Inference of Automatic Reference Phylogenies and Multilevel Phylogenetic Placement.
Lucas Czech, Pierre Barbera, and Alexandros Stamatakis.
Bioinformatics, 2018. https://doi.org/10.1093/bioinformatics/bty767

and

Scalable Methods for Analyzing and Visualizing Phylogenetic Placement of Metagenomic Samples.
Lucas Czech and Alexandros Stamatakis.
PLOS One, 2019. https://doi.org/10.1371/journal.pone.0217050

Structure

The repository is structed as follows:

  • code: C++ code to be used with our genesis library. The directory contains all prototypes and helper programs that were used to evaluate the data and make the plots reported in the papers.
  • data: Contains information and some processed files about the empirical datasets that were used as a basis for the analyses and evaluations.
  • results: A large collection of scripts, data, results and figures that were used in the papers. The directory contains all analyses that we conducted for the papers.
  • software: Information about the external software that was used.

The purpose of this repository is to allow reconstruction of the analyses that we ran for the papers. If you are however interested in running analyses on your own data, that is, use our methods, have a look at gappa.

IMPORTANT REMARK: During the submission of the paper on Automatic Reference Phylogenies, we decided to rename the method from ART to PhAT. While this renaming is now consistently applied to both the paper and the gappa implementation, in this repository, we did not rename it. Thus, be aware that all references to ART are meant to refer to PhAT instead.

Quick Links

The file results/msas_and_trees.zip is a shortcut for users who are simply interested in the alignments and trees produced by our PhAT/ART method for their own analyses. The file contains MSAs, taxonomies, constrained and unconstrained trees for all four domains that we used in the paper (General, Archaea, Bacteria, Eukaryota). The files are identical to the ones found in results/01_backbone, but renamed for simplicity.

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Accompanying code repository with scripts, programs and data for our papers.

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