Bioinformatics scripts developed during the adaptive laboratory evolution of Rhodococcus ruber under high pyrene concentrations
- Genome assembly statistics
- GC content calculations
- VCF variant parsing
- Mutation mapping
- Comparative genome analysis
Hybrid genome assembly
↓
Annotation
↓
Genome comparison
↓
Variant detection
↓
Biological interpretation
- Python 3.10+
- Biopython
- R
Gabriela Calcáneo-Hernández
Postdoctoral researcher
UNAM
Original experimental data are available in Mendeley Data at 10.17632/864zyxk8r7.1
- Comparative genomics
- Genome assembly analysis
- Variant calling and VCF processing
- Mutation mapping
- Python scripting
- R statistical analysis
- Data visualization
- Bioinformatics workflow development
If you use these scripts, please cite:
Calcáneo-Hernández et al., (2026) Adaptive laboratory evolution of the hydrocarbonoclastic marine strain Rhodococcus ruber MSA14 to high pyrene concentrations
Some scripts were developed with the assistance of AI coding tools and subsequently reviewed, tested, and adapted by the author.