Proteome Bioinformatics Lab
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Principal Investigator: |
Our research interests are in the fields of bioinformatics, proteomics and systems biology, with a focus on the development of computational methods for processing and extracting biological information from complex biological datasets. The efforts in his lab include the development of computational tools and statistical methods for mass spectrometry-based proteomics, establishment of guidelines and standards for proteomic data analysis and publication, computational analysis of protein-protein interaction networks and protein complexes, data mining and machine learning, creation of informatics infrastructure, databases, and proteomic data repositories, biomarker discovery and reconstruction of pathways deregulated in cancer, integration of proteomics with genomics, metabolomics, and other types of biological data. Our lab actively collaborates with technology developers, biologists, and clinical scientists.
News Ticker
- iProphet method and software is published in Molecular & Cellular Proteomics
- Special issue of the journal Proteomics on Protein Complexes and Interaction Networks
- New manuscripts on joint analysis of proteomic and RNA-seq transcriptomic data
- SAINT-MS1 for intensity-based AP-MS published in J Prot Research
- SAINT 2.0 method for AP-MS data published in Nature Methods
- Abacus: software for label-free proteomics now available
- Comprehensive review on peptide/protein error rates in J. Proteomics
- Comprehensive review on scoring protein interactions in AP-MS data in Proteomics
- Global yeast protein kinase and phosphatase interaction network published in Science
- PeptideProphet and ProteinProphet manuscripts reach 1000 citations
- Tutorial on the Trans-Proteomic Pipeline is most cited manuscript in Proteomics in 2011
- Proteome Informatics of Cancer Training Program at U Michigan
- Watch us talk about our research on YouTube
