Proteome Bioinformatics
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Alexey I. Nesvizhskii, Ph.D. |
Our research interest is in the field of proteomics and systems biology, with a focus on the development of computational methods for processing and extracting biological information from complex proteomic datasets. Similar to other global high throughput technologies such as microarray gene expression analysis, proteomics is extremely dependent on the ability to quickly and reliably analyze large amounts of experimental data. The main aim of our research is to close the critical gap between the development of high throughput quantitative proteomics methods and the ability to deal with the resulting data deluge and to convert it into new biological knowledge.
News Ticker
- iProphet method and software is published in Molecular & Cellular Proteomics
- 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
- Global yeast protein kinase and phosphatase interaction network published in Science
- PeptideProphet and ProteinProphet manuscripts reach 1000 citations
- New Proteome Informatics of Cancer Training Program announced
- Watch us talk about our research on YouTube
