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Welcome to the meTAline wiki!
This resource is designed to guide you through the setup, execution, and optimization of meTAline, a Snakemake pipeline tailored for comprehensive metagenomic analysis. Whether you're a researcher, bioinformatician, or enthusiast delving into metagenomics, this wiki provides detailed instructions and insights to facilitate your journey.
About meTAline
meTAline streamlines the preprocessing of short-read metagenomic data. Its workflow encompasses:
Read Trimming and Filtering
: Enhances data quality by removing low-quality sequences and adapters.
Host Read Subtraction
: In case a reference genome is provided,it eliminates host-derived sequences to focus on microbial content.
Taxonomic Classification
: Employs both k-mer and gene-marker approaches for microbial identification.
Functional Profiling
: Analyzes the functional potential of microbial communities.
By automating these steps, meTAline ensures a consistent and reproducible analysis pipeline, saving time and reducing potential errors.
To get started with meTAline, refer to our Quick Start & Try-Out guide. This section provides step-by-step instructions to help you set up and execute the pipeline efficiently for a quick trial.
Deployment Options
meTAline offers flexibility in deployment to suit various computational environments:
Docker: For containerized execution, learn how to Build and Run meTAline using Docker.
Singularity: Ideal for HPC clusters, follow the guides to Build and Run meTAline with Singularity.
High-Performance Computing (HPC): For large-scale analyses, see our instructions on Running in HPC environments.
Parallelization
To expedite processing, meTAline supports parallel execution:
HPC Cluster: Discover strategies for Parallelizing in HPC clusters.
Local Machine: Learn how to Parallelize on a local machine to leverage multi-core processors.
Outputs and Target Rules
Understand the expected results and how to customize them:
Available Target Rules: Explore the Available target rules to tailor the pipeline to your specific needs.
Want to contribute or encountered an issue? Our Debugging meTAline section offers solutions to common problems and tips for troubleshooting.
If meTAline contributes to your research, please refer to our Citations / Acknowledgments page for proper attribution and to recognize the efforts of the development team.
ABOUT
Quick Start
meTAline with Singularity
meTAline with Docker
meTAline with HPC
parallelize meTAline
Outputs and target rules
Debugging
Citations / Acknowledgments