FACEPAI
FACEPAI processes environmental DNA (eDNA) high-throughput sequencing barcode data to assign sequences to known taxa using reference databases for ecological and taxonomic research.
Key Features:
- Efficiency: Processes high-throughput barcode sequence datasets in under 15 minutes depending on sequence volume.
- Low memory footprint: Operates with memory usage below 2 GB on standard desktop PCs.
- Automation: Automates sequence filtering, clustering, and taxonomic identification to produce repeatable results.
- Reference database formatting: Requires formatting of reference databases using the CaPReSe script.
- Open-source integration: Integrates several open-source applications for processing and identification.
Scientific Applications:
- Environmental surveys: Applies to eDNA datasets from soil, water, sediment, trap alcohol, and bulk samples for environmental surveys.
- Taxonomic research: Supports taxonomic assignment and barcode-based identification for taxonomic studies.
- Biodiversity assessments: Facilitates rapid biodiversity assessments from large sequencing datasets.
- Species distribution modeling: Provides occurrence data useful for species distribution modeling.
- Ecosystem monitoring: Enables monitoring of ecosystem changes over time via repeatable eDNA analyses.
Methodology:
Reference databases are formatted with the CaPReSe script; the pipeline then automates filtering, clustering, and taxonomic identification and can process multiple samples in succession while integrating several open-source applications.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, workflow
- Programming Languages:
- Shell
- Added:
- 1/14/2020
- Last Updated:
- 12/28/2020
Operations
Publications
Wahlberg E. FACEPAI: a script for fast and consistent environmental DNA processing and identification. BMC Ecology. 2019;19(1). doi:10.1186/s12898-019-0269-1. PMID:31810454. PMCID:PMC6896590.
Links
Issue tracker
https://github.com/emmawahl/facepai/issues