GenomicScores
GenomicScores provides programmatic storage and retrieval of genomewide position-specific scores in R to support analyses of conservation, constraint, fitness, and mutation tolerance across genomes.
Key Features:
- Efficient storage: Infrastructure for storing large genomewide position-specific scores estimating conservation, constraint, fitness, and mutation tolerance.
- Programmatic access from R: Direct retrieval of stored scores into R for incorporation into computational workflows.
- Bioconductor integration: Integration with the Bioconductor project to leverage its genomic data structures and downstream tools.
- Implementation and licensing: Implemented in R and distributed on Bioconductor under the Artistic-2.0 license.
Scientific Applications:
- Conservation analysis: Quantifying evolutionary conservation across the genome using position-specific scores.
- Constraint studies: Identifying genomic regions under selective constraint using position-specific scores.
- Fitness and mutation tolerance assessment: Evaluating impact of variants by mapping mutation tolerance and fitness-related scores across the genome.
Methodology:
Integration of diverse genomic data sources into a unified framework within R to store and provide programmatic access to genomewide position-specific scores.
Topics
Collections
Details
- License:
- Artistic-2.0
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 7/9/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Puigdevall P, Castelo R. GenomicScores: seamless access to genomewide position-specific scores from R and Bioconductor. Bioinformatics. 2018;34(18):3208-3210. doi:10.1093/bioinformatics/bty311. PMID:29718111.
PMID: 29718111
Funding: - Spanish MINECO/FEDER: TIN2015-71079-P
- Catalan AGAUR: FI-DGR 2015, SGR17-1020