ASSIST

ASSIST automates SNP scoring and filtering for Illumina Infinium arrays and custom genotyping arrays to produce improved genotype calls for genetic mapping and marker–trait association analyses.


Key Features:

  • Integration with GenomeStudio®: Processes and leverages output from GenomeStudio® (Illumina) for downstream SNP scoring and filtering.
  • Bi-allelic genetic model identification: Identifies markers that conform to a bi-allelic genetic model to support reliable genotype calls.
  • Re-editing of SNP calls: Re-edits SNP calls that contain null alleles or additional SNPs in the probe annealing site.
  • Population support: Handles diverse population types including full-sib families, backcrosses, F1 and F2 generations, and unrelated individuals.
  • Export functionality: Produces output files compatible with software used for genetic mapping and marker–trait association analysis.
  • Array specificity: Tailored processing for Illumina Infinium arrays and custom genotyping arrays.

Scientific Applications:

  • Plant genetics: Analysis of complex mating schemes and population structures in plant breeding and genetics studies.
  • Genetic mapping: Generation of filtered SNP datasets suitable for linkage mapping workflows.
  • Marker–trait association studies: Preparation of curated SNP calls for marker–trait association analyses.

Methodology:

Implemented in Python; processes GenomeStudio® output from Illumina Infinium and custom genotyping arrays, identifies bi-allelic markers, re-edits SNP calls with null alleles or probe-site polymorphisms, and exports results to formats for genetic mapping and association software; compatible with Windows and Linux.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows
Added:
4/14/2016
Last Updated:
12/10/2018

Operations

Publications

Di Guardo M, Micheletti D, Bianco L, Koehorst-van Putten HJJ, Longhi S, Costa F, Aranzana MJ, Velasco R, Arús P, Troggio M, van de Weg EW. ASSIsT: an automatic SNP scoring tool for in- and outbreeding species. Bioinformatics. 2015;31(23):3873-3874. doi:10.1093/bioinformatics/btv446. PMID:26249809. PMCID:PMC4653386.

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