ITARGEX analysis of yeast deletome reveals novel regulators of transcriptional buffering in S phase and protein turnover.

ABSTRACT: Integrating omics data with quantification of biological traits provides unparalleled opportunities for discovery of genetic regulators by in silico inference. However, current approaches to analyze genetic-perturbation screens are limited by their reliance on annotation libraries for prioritization of hits and subsequent targeted experimentation. Here, we present iTARGEX (identification of Trait-Associated Regulatory Genes via mixture regression using EXpectation maximization), an association framework with no requirement of a priori knowledge of gene function. After creating this tool, we used it to test associations between gene expression profiles and two biological traits in single-gene deletion budding yeast mutants, including transcription homeostasis during S phase and global prote

SUBMITTER: Huang JH 

PROVIDER: S-EPMC8287957 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature