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.

PMID: 28049428
PMCID: PMC5210299
Funding: - Seventh Framework Programme: 289974

Documentation