Computational characterisation of trans-regulatory cell systems

Summary

This project aims provide enabling computational and statistical methods for characterising trans-regulatory networks in cell systems. The goal is to discover regulatory networks that control individual cells across multiple omics layers.

Supervisor(s)

Dr Pengyi Yang

Research Location

School of Mathematics and Statistics

Program Type

PHD

Synopsis

This project focus on developing computational and statistical methods to characterise trans-regulatory networks in cell systems. By taking advantage of public omics data resources and the trans-omics data generated from mouse embryonic stem cells by our lab, we aim to identify and reconstruct biological networks that cut across multiple regulatory machineries. The goal is to investigate the cross-talk of signalling cascades, epigenomic, transcriptomic and proteomic regulations, and their feedback regulations. The high-throughput data that we are seeking to integrate include time-course mass spectrometry-based proteomics and phosphoproteomics, and next-generation sequencing-based RNA-seq and ChIP-seq data.

Additional Information

The successful research candidate will be conducting the research at the Charles Perkins Centre (CPC), University of Sydney.

In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:

- Confidential disclosure and registration of a disability that may hinder your performance in your degree;
- Confidential disclosure of a pre-existing or current medical condition that may hinder your performance in your degree (e.g. heart disease, pace-maker, significant immune suppression, diabetes, vertigo, etc.);
- Ability to perform independently and/or with minimal supervision;
- Ability to undertake certain physical tasks (e.g. heavy lifting);
- Ability to undertake observatory, sensory and communication tasks;
- Ability to spend time at remote sites (e.g. One Tree Island, Narrabri and Camden);
- Ability to work in confined spaces or at heights;
- Ability to operate heavy machinery (e.g. farming equipment);
- Hold or acquire an Australian driver’s licence;
- Hold a current scuba diving license;
- Hold a current Working with Children Check;
- Meet initial and ongoing immunisation requirements (e.g. Q-Fever, Vaccinia virus, Hepatitis, etc.)

You must consult with your nominated supervisor regarding any identified inherent requirements before completing your application.

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Keywords

Bioinformatics, Systems biology, computational biology, Machine learning, artificial intelligence, gene expression, Epigenomics, Proteomics, Transcriptome

Opportunity ID

The opportunity ID for this research opportunity is: 2406

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