WormGender

WormGender quantifies sex ratios in Caenorhabditis elegans populations by automated identification and counting of adult hermaphrodites and males for quantitative genetic and phenotypic analysis.


Key Features:

  • Automatic recognition and counting: Automated identification and counting of adult hermaphrodites and males in Caenorhabditis elegans populations.
  • Quantitative sex-ratio measurement: Computes population-level sex ratios from image-based counts for quantitative phenotype assessment.
  • Manual inspection: Provides manual inspection and correction of automated classifications to improve accuracy.
  • Adaptability through training images: Accepts user-supplied training images to adapt classification to different imaging conditions.

Scientific Applications:

  • Him phenotype screening: Quantified incidence of male (him) phenotypes across 27 C. elegans mutant strains and identified significant him phenotypes in mutants of brc-1, C30G12.6, cep-1, coh-3, him-3, him-5, him-8, skr-1, and unc-86.
  • Genetic and developmental research: Supports genetic, developmental, and neurobiological studies in C. elegans by enabling rapid, quantitative assessment of population sex ratios.
  • High-throughput phenotypic analyses: Enables processing of large datasets for high-throughput quantitative phenotype analysis.

Methodology:

Automated image-based recognition and counting of adult hermaphrodites and males, optional manual inspection and correction, use of user-supplied training images for classifier adaptation, and performance evaluation by comparison of automated sex-ratio assessments with manual evaluations.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Java
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Labocha MK, Jung S, Aleman-Meza B, Liu Z, Zhong W. WormGender – Open-Source Software for Automatic Caenorhabditis elegans Sex Ratio Measurement. PLOS ONE. 2015;10(9):e0139724. doi:10.1371/journal.pone.0139724. PMID:26421844. PMCID:PMC4589236.

Documentation

Links