Pergola
Pergola constructs linkage maps for polyploid species to enable accurate marker ordering and estimation of genetic distances for genetic mapping and plant breeding.
Key Features:
- Deterministic and Heuristic Algorithms: Employs both deterministic and heuristic methods for linkage mapping in polyploid genomes.
- Accurate Linkage Metrics: Produces correct linkage groups, marker orders, and genetic distances for simulated and real datasets.
- Performance Superiority: Outperforms existing tools in computational efficiency and mapping accuracy across ploidy levels.
- Dendrogram Representation: Represents linkage maps as dendrograms to facilitate comparison between different maps.
Scientific Applications:
- Plant Breeding: Supports identification of associations between genes and traits in polyploid crops.
- Genetic Mapping: Enables construction of linkage maps for analyses of complex polyploid genomes.
- Crop Improvement: Provides accurate mapping outputs that can inform crop improvement programs for polyploid species.
Methodology:
Implements deterministic and heuristic algorithms for linkage mapping and was validated using simulation studies.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/30/2017
- Last Updated:
- 6/16/2020
Operations
Publications
Grandke F, Ranganathan S, van Bers N, de Haan JR, Metzler D. PERGOLA: fast and deterministic linkage mapping of polyploids. BMC Bioinformatics. 2017;18(1). doi:10.1186/s12859-016-1416-8. PMID:28049428. PMCID:PMC5210299.
Documentation
User manual
https://cran.r-project.org/web/packages/pergola/vignettes/my-vignette.htmlManual to create a linkage map