Application of unimodal probability distribution models for morphological phenotyping of budding yeast.

ABSTRACT: Morphological phenotyping of the budding yeast Saccharomyces cerevisiae has helped to greatly clarify the functions of genes and increase our understanding of cellular functional networks. It is necessary to understand cell morphology and perform quantitative morphological analysis (QMA) but assigning precise values to morphological phenotypes has been challenging. We recently developed the Unimodal Morphological Data image analysis pipeline for this purpose. All true values can be estimated theoretically by applying an appropriate probability distribution if the distribution of experimental values follows a unimodal pattern. This reliable pipeline allows several downstream analyses, including detection of subtle morphological differences, selection of mutant strains with similar morpholog

SUBMITTER: Ohya Y 

PROVIDER: S-EPMC10804223 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature