Fitting Time-Dependent Models Using Sicegar: Applications to RpoS-Dependent Gene Transcription in E. coli - CGSI 2024

Explore time-dependent model fitting using sicegar and its applications to RpoS-dependent gene transcription timing in E. coli in this 46-minute conference talk from the Computational Genomics Summer Institute (CGSI) 2024. Delve into the research presented by Jo Hardin, which builds upon recent studies on transcriptional responses to varying RpoS levels and stress conditions in Escherichia coli K-12. Learn about the sicegar R package for sigmoidal and double-sigmoidal curve fitting and its relevance to analyzing gene expression patterns. Gain insights into the latest findings on the variability of RpoS-dependent gene transcription timing across multiple stresses, as discussed in related papers by Adams et al. and Wong et al. Enhance your understanding of computational approaches in genomics and their applications to bacterial gene regulation studies.

Wong GT, Bonocora RP, Schep ANBeeler SMLee Fong AJShull LMBatachari LE, Dillon M, Evans CBecker CJ, Bush EC, Hardin J, Wade JT, Stoebel DM. 2017. Genome-Wide Transcriptional Response to Varying RpoS Levels in Escherichia coli K-12. J Bacteriol 1.1128/jb.00755-16.https://doi.org/10.1128/jb.00755-16