Project aims and scope

The project aim is to develop a new computational model for transcriptional regulation by integrating high throughput data on transcription factor (TF) binding with global data on chromatin state. The intended model needs to account for temporal changes both in TF binding and in chromatin states in addition to their relation to temporal changes in target gene expression. At the end of the process we should be able to make specific predictions regarding target gene expression for genes involved in early Drosophila development. It is also desirable for the model to allow for introspection, i.e. analysis of conditional dependencies between variables. The initial formulation of the model will be guided by the statistical analyses of available ModEncode data, collected from staged whole embryos as well as data specific to mesoderm development in collaboration with Dr. Eileen Furlong’s laboratory at EMBL, Heidelberg Germany. This probabilistic model will be implemented and optimized by recruited master students under the technical supervision of experienced faculty. The resulting model will provide genome-wide predictions of chromatin status, temporal dynamics and spatio-temporal gene expression patterns. Selected interesting predictions can be subsequently experimentally verified in Dr. Furlong’s lab.

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Projekt współfinansowany przez Unię Europejską z Europejskiego Funduszu Rozwoju Regionalnego.