https://github.com/alberdilab/greenland_mycorrhiza

Bioinformatic respository of the shotgun metagenomic data analyses of the greenlandic mycorrhizal network project

https://github.com/alberdilab/greenland_mycorrhiza

Science Score: 13.0%

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Repository

Bioinformatic respository of the shotgun metagenomic data analyses of the greenlandic mycorrhizal network project

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  • Host: GitHub
  • Owner: alberdilab
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  • Size: 60.5 KB
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Created over 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

Greenland mycorrhiza

Bioinformatic respository of the shotgun metagenomic data analyses of the greenlandic mycorrhizal network project

This pipeline must be run in a high computation cluster.

Genome-resolved microbial metagenomics

The pipeline only relies on two software:

  • Mamba
  • Snakemake

The rest of the many required softwatre are downloaded and installed inside the conda environments.

Prepare working environment

```sh

Load dependencies mamba and snakemake (not needed if they are already installed in root)

module load mamba/1.5.6 snakemake/7.20.0

Create working directory

mkdir greenland_shotgun

Clone metagenomic assembly+binning pipeline repository

cd greenlandshotgun git clone https://github.com/3d-omics/mgassembly.git cd mg_assembly

Create screen session

screen -S greenland_shotgun

Create conda environments and run test data to validate them

It might take 20-30 minutes to download and install all software

./run ```

Prepare the input files

Data files

  • Move the raw data files to the 'resources/reads/' directory or create soft links.

```sh

In this example, download reads from ERDA

cd resources/reads/ wget https://sid.erda.dk/shareredirect/dcKtF82NjL/SHIndPCR1AEKDL210009000-1a-AK4939-AK6653HTF5CDSX2L11.fq.gz wget https://sid.erda.dk/shareredirect/dcKtF82NjL/SHIndPCR1AEKDL210009000-1a-AK4939-AK6653HTF5CDSX2L12.fq.gz cd ../../ ```

Owner

  • Name: alberdilab
  • Login: alberdilab
  • Kind: organization

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Dependencies

environment.yaml pypi