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TRACM: TAPIR Pipeline version 1.0dev
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The typical command for running the pipeline is as follows:
nextflow run main.nf --reads "PathToReadFile(s)" --output_dir "PathToOutputDir" --db "PathToDB"
Mandatory arguments:
--reads Query fastq.gz file of sequences you wish to supply as input (e.g., "/MIGE/01_DATA/01_FASTQ/T055-8-*.fastq.gz")
--output_dir Output directory to place output (e.g., "/MIGE/01_DATA/03_ASSEMBLY")
--db Filepath to reference db
Optional arguments:
--help This usage statement.
--version Version statement
This pipeline implements tracm for separating strains from mock communities. To learn more about TRACM/TRACS, check out the original author's Github page. Kindly create and activate the tracm conda environment before running this pipeline. Further details on the installation of tracm can be found here.
An example of a command to run this pipeline is:
nextflow run main.nf --reads "Sample_files/*.fastq.gz" --output_dir "test2" --db "FilePathToDB"
Follow the instructions here to discover how to build a custom database acceptable by tracm/tracs.
This is an ongoing project at the Microbial Genome Analysis Group, Institute for Infection Prevention and Hospital Epidemiology, Üniversitätsklinikum, Freiburg. The project is funded by BMBF, Germany, and is led by Dr. Sandra Reuter.
The TAPIR (Track Acquisition of Pathogens In Real-time) team.