Regulatory Network Models in Biology

In this project, we studied transcriptional regulation in C. elegans through a network approach. We used techniques analyzing degree distribution, motifs, gene regulation subgraphs etc. to investigate various properties of the network. Our motif analysis discovered previously unknown motifs that are likely to have biological significance. We introduced a new technique for quantifying amount of gene regulation and formulated a new hypothesis to predict autoregulation. Our results will serve as a basis for future biological experiments