GCalignR
GCalignR aligns gas chromatography–flame ionization detection (GC-FID) chromatographic peaks across biological samples to standardize retention-time-based chemical profiles for ecological and evolutionary analyses.
Key Features:
- Retention time-based alignment: Aligns chromatographic peaks by retention times to match homologous substances across samples such as skin swabs while accounting for inter-sample variability.
- Parameter tuning and error estimation: Exposes alignment parameters and computes alignment error rates to evaluate and optimize settings across datasets.
- Visualization functions: Provides visualization routines to inspect alignment quality and assess peak matching across chromatograms.
- R integration: Implements functions within the R environment to integrate peak alignment outputs into R-based analysis workflows and downstream multivariate analyses.
- Empirical validation: Demonstrated on empirical GC-FID data from Antarctic fur seals, reporting low error rates across a range of parameter settings and competitive performance versus other alignment software.
Scientific Applications:
- Animal chemical communication: Enables comparative chemical profiling for studies of mate choice, kin recognition, and other chemically mediated behaviors.
- Eco-evolutionary analyses: Supports comparison of chemical profiles across sexes, age classes, and reproductive stages to investigate eco-evolutionary patterns.
- Downstream statistical analysis: Produces standardized peak matrices suitable for multivariate statistical analyses of complex chemical datasets.
Methodology:
Aligns peaks by retention time while accounting for experimental noise, allows user-defined alignment parameters, and calculates alignment error rates for optimization.
Topics
Collections
Details
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/29/2018
- Last Updated:
- 3/26/2019
Operations
Publications
Ottensmann M, Stoffel MA, Nichols HJ, Hoffman JI. GCalignR: An R package for aligning gas-chromatography data for ecological and evolutionary studies. PLOS ONE. 2018;13(6):e0198311. doi:10.1371/journal.pone.0198311. PMID:29879149. PMCID:PMC5991698.