Project Start Date: Winter 2014
Project Title: Development of a metabolomics and proteomics pipeline for high-throughput analysis of cancer biology and immunity samples
Contact: Thomas Graeber <tgraeber@mednet.ucla.edu>, Ph.D.
Project Description:
Recent advances in cancer biology have shown massive changes in the transcriptome, proteome and metabolome of tumor specimen in response to drug treatment. Our lab aims to understand the governing principles that cause these global changes. To this end, we are conducting metabolomics and proteomics analyses of cancer cell lines and xenograft tumors using top-of-the-line mass spectrometry equipment.
This project will develop the bioinformatic tools necessary to establish a high-throughput pipeline for the mass spectrometry-based analysis of biological samples. The project includes creation of bioinformatic algorithms and pipelines for analyzing multi-omic data, and collaboration with biologists in the analysis and interpretation of the data.
Required Experience: Experience with programming (R, Python, Perl, C++ etc.). Background knowledge of mass spectrometry and biology helpful.
Possibility of Funding : Can evolve to a paid position.