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deadwood_restoration's Introduction

Bioinformatics pipeline for "Natural deadwood hosts more diverse pioneering wood-inhabiting fungal communities than restored deadwood"

This pipeline is a pre-release version of the OptimOTU pipeline, which is implemented in R using the {targets} pipeline tool. It is probably difficult to run it outside of the CSC Puhti computing cluster where it was developed and executed for this project, and is included primarily for reference purposes to accompany the paper.

That said, in principle the steps to execute it would be:

  1. Clone this Git repository

  2. Install all prerequisites listed in conda/deadwood_restoration.yaml, either using conda or by other means. If using conda, activate the conda environment.

  3. Download ProtaxFungi and unzip it into the sister directory

  4. Download the raw sequence files (link TBD) into sequences/01_raw

  5. In R:

library(targets)
tar_make()

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