RRC ID 45587
著者 Labocha MK, Jung SK, Aleman-Meza B, Liu Z, Zhong W.
タイトル WormGender - Open-Source Software for Automatic Caenorhabditis elegans Sex Ratio Measurement.
ジャーナル PLoS One
Abstract Fast and quantitative analysis of animal phenotypes is one of the major challenges of current biology. Here we report the WormGender open-source software, which is designed for accurate quantification of sex ratio in Caenorhabditis elegans. The software functions include, i) automatic recognition and counting of adult hermaphrodites and males, ii) a manual inspection feature that enables manual correction of errors, and iii) flexibility to use new training images to optimize the software for different imaging conditions. We evaluated the performance of our software by comparing manual and automated assessment of sex ratio. Our data showed that the WormGender software provided overall accurate sex ratio measurements. We further demonstrated the usage of WormGender by quantifying the high incidence of male (him) phenotype in 27 mutant strains. Mutants of nine genes (brc-1, C30G12.6, cep-1, coh-3, him-3, him-5, him-8, skr-1, unc-86) showed significant him phenotype. The WormGender is written in Java and can be installed and run on both Windows and Mac platforms. The source code is freely available together with a user manual and sample data at http://www.QuantWorm.org/. The source code and sample data are also available at http://dx.doi.org/10.6084/m9.figshare.1541248.
巻・号 10(9)
ページ e0139724
公開日 2015-1-1
DOI 10.1371/journal.pone.0139724
PII PONE-D-15-30738
PMID 26421844
PMC PMC4589236
MeSH Animals Caenorhabditis elegans / classification* Caenorhabditis elegans / genetics Computational Biology Male Mutation Sex Ratio* Software*
IF 2.74
引用数 5
WOS 分野 MULTIDISCIPLINARY SCIENCES
リソース情報
線虫 tm2443 tm1145