P0464
solGS: A Webtool for Genomic Selection Analysis

Isaak Y. Tecle , Boyce Thompson Institute, Ithaca, NY
Naama Menda , Boyce Thompson Institute, Ithaca, NY
Guillaume J. Bauchet , Boyce Thompson Institute, Ithaca, NY
Lukas Mueller , Boyce Thompson Institute, Ithaca, NY
Genomic selection relies on high-density genotyping and computationally intensive statistics, which presents significant challenges in data management, analysis and results sharing. solGS, a web-based tool, is designed to alleviate these challenges for breeders. It has a database to store phenotype and genotype data and a web-interface for statistical analyses and interactive data visualization. It uses RR-BLUP for the statistical modeling and GBLUP method for breeding values prediction. It performs also descriptive statistics, population structure, phenotypic and genetic correlations, selection gain, and selection index analyses. solGS is part of the NextGen Cassava Breeding Project (http://nextgencassava.org) and implemented on http://cassavabase.org/solgs. solGS is organism-agnostic, and thus GS breeders can adapt it for any organism.
Handouts
  • solgs_poster.pdf (1.0 MB)