https://github.com/amkram/parsimony-lfs

https://github.com/amkram/parsimony-lfs

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  • Host: GitHub
  • Owner: amkram
  • Language: Shell
  • Default Branch: master
  • Size: 33.6 MB
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Created about 4 years ago · Last pushed about 4 years ago
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README.md

Online Phylogenetics using Parsimony Supplemental Repository

This repository contains supplemental results, data, and scripts for Thornlow et al., 2022

The subfolders are outlined below.


1_make_starting_tree: This folder contains scripts to produce a filtered global phylogeny, the "starting tree" in the manuscript. Samples from the starting tree are used in 3_real_data_experiments to infer trees from real data.

2_optimize_starting_tree: The starting tree from the previous folder is optimized with various methods, and the best tree is chosen as the "ground truth" over which to simulate sequences (in folder 4_simulated_data_experiments)

3_real_data_experiments: This folder contains scripts and results of tree inference methods on real SARS-CoV-2 data. Each method is compared by log likelihood.

4_simulated_data_experiments: Scripts and results of inference methods on simulated SARS-CoV-2 data. Comparisons between methods are done by computing tree distances to a ground truth phylogeny.


Dependencies

The scripts in this repository use the following programs:

  • Python 3
  • The UShER suite (UShER, matOptimize, matUtils)
  • FastTree 2
  • IQ-TREE 2
  • RAxML-NG
  • TreeCmp

Most of the above can be installed with Conda:

```

Create and activate a new environment

conda create -n parsimony conda activate usher-env

Set up channels

conda config --add channels defaults conda config --add channels bioconda conda config --add channels conda-forge

Install packages (versions are those used in our experiments except where stated otherwise)

conda install usher=0.4.8 conda install raxml-ng=1.1.0 conda install iqtree=2.1.3 ```

For FastTree 2, install the double-precision executable: wget http://www.microbesonline.org/fasttree/FastTreeDbl

For TreeCmp, follow the instructions at https://github.com/TreeCmp/TreeCmp

For more details on the UShER suite, see the wiki.

Owner

  • Name: Alex Kramer
  • Login: amkram
  • Kind: user
  • Location: Santa Cruz, CA
  • Company: @corbett-lab

Graduate student at UC Santa Cruz - Biomolecular Engineering and Bioinformatics

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