TY - JOUR
TI - Tools from statistical physics for systems biology and for genomics
DO - https://doi.org/doi:10.7282/T33X86CS
PY - 2010
AB - My graduate studies involved three broad classes of problems, each of which are presented in diﬀerent chapters of this thesis. The ﬁrst two parts of my work were related to studying dynamics of biochemical networks. I studied a mean-ﬁeld/stochastic model of epigenetic chromatin silencing in yeast. The model gives rise to diﬀerent dynamical behaviors possible within the same molecular model and provides qualitative predictions that are being investigated experimentally. In another part of my work, I studied a model of segment polarity network in Drosophila and analyzed the parameter space of the system. I particularly studied the relation between the geometry of parameter space and the robustness of the network. I will show that, in addition to the volume, the geometry of this region has important consequences for the robustness and the fragility of a network. A major part of my PhD work involved applications of high-throughput sequencing technologies for extracting information at the genomic level. I present SOPRA, a new algorithm for exploiting the mate pair information for assembly of short reads. I have successfully applied SOPRA to real data and were able to assemble scaﬀolds of signiﬁcant length with very few errors introduced in the process.
KW - Physics and Astronomy
KW - Genomics--Research
KW - Stochastic analysis
LA - eng
ER -