PIMBA
PIMBA performs DNA metabarcoding analyses of environmental samples to assign taxonomy and quantify biodiversity from Next-Generation Sequencing (NGS) data.
Key Features:
- Customizable Database Integration: PIMBA allows incorporation of custom databases alongside established reference databases to increase taxonomic coverage and detect specific or rare taxa.
- Comprehensive Analysis Pipeline: PIMBA consolidates data preprocessing, sequence alignment, taxonomic assignment, and statistical analyses into a single framework.
- End-to-end NGS Processing: PIMBA automates processing of large Next-Generation Sequencing datasets from raw sequence input to final output generation.
Scientific Applications:
- Biodiversity Monitoring: Assessing species diversity and abundance in ecosystems using DNA metabarcoding.
- Conservation Biology: Identifying rare or endangered species within habitats from metabarcoding data.
- Environmental Impact Studies: Evaluating the effects of human activities on biodiversity using NGS-based metabarcoding.
Methodology:
PIMBA integrates customizable databases with established reference databases and automates data processing and analysis steps from raw sequence data to final output generation.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- workflow
- Programming Languages:
- Shell, Python, R
- Added:
- 11/1/2021
- Last Updated:
- 11/1/2021
Operations
Publications
Oliveira RRM, Silva R, Nunes GL, Oliveira G. PIMBA: a PIpeline for MetaBarcoding Analysis. Unknown Journal. 2021. doi:10.1101/2021.03.23.436646.
Links
Issue tracker
https://github.com/reinator/pimba/issues