Modeling transcriptional regulation in Drosophila blastoderm
work with the BDTNP Imaging and Bioinformatics Groups at LBL
Our work on building a spatio-temporal atlas of gene expression in Drosophila blastoderm provides a foundation for understanding the transcription networks that underlie animal development. We are currently developing techniques for modeling and mining this rich source of data.
This effort includes methods for predicting spatial transcription levels based on protein concentrations and binding site analysis of genomic data. We are compiling spatial expression data for other Drosophila species in order to relate the evolution of cis-regulatory sequence to subtle changes in expression patterns. We are also working towards detailed models of the temporal dynamics which govern early pattern formation in Drosophila in hopes of understanding how the regulatory network robustly patterns the embryo in spite of varying environmental conditions and system noise.