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Analyzes seekdeep data for read counts of individual samples

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bailey-lab/seekdeep_analysis_snakemake

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seekdeep_analysis_snakemake

This repository is attempting to be a general purpose seekdeep analysis pipeline. Outputs include:

  • total read counts for every sample as a table
  • total read counts for every sample as a heatmap
  • complexity of infection (number of haplotypes per sample) as a table
  • complexity of infection (number of haplotypes per sample) as a heatmap
  • if applicable, relative abundance of amino acid point mutations as a table
  • if applicable, relative abundance of amino acid point mutations as a heatmap

Installation:

conda create -c conda-forge -c bioconda -n snakemake snakemake

Setup your environment:

  • Change directory to a folder where you want to run the analysis
  • Download the analyze_seekdeep.smk file into this folder (e.g. with git clone)
  • Download the analyze_seekdeep.yaml file into same folder (e.g. git clone)

Usage:

  • Edit the config.yaml file using the instructions in the comments. Use a text editor that outputs unix line endings (e.g. vscode, notepad++, gedit, micro, emacs, vim, vi, etc.)
  • If snakemake is not your active conda environment, activate snakemake with:
conda activate snakemake
  • Run snakemake with:
snakemake -s analyze_seekdeep.smk --cores [your_desired_core_count]

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Analyzes seekdeep data for read counts of individual samples

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