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Alexey Nesvizhskii

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Primary Appointment: Pathology Department
Primary PIBS Dept.: Bioinformatics
Other PIBS Depts.: Molecular and Cellular Pathology
PubMed Name: Nesvizhskii A
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  Our research interest is in the field of quantitative proteomics, 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. The efforts in our lab include:

1. Reconstruction of protein-protein interaction networks and protein complexes using mass spectrometry-based proteomics data. Development of statistical methods for assigning interaction confidence scores, improved clustering and network modeling methods, integrative analysis.

2. Integrative analysis of proteomic and next-generation transcriptome (mRNA-Seq) data.

3. Computational methods for improved identification and characterization of post-translationally modified peptides and proteins, with a focus on cell signaling and epigenetics (phosphorylation, acetylation, etc.).

While we are a mostly computational laboratory, we have access to a cutting edge proteomics facility in our Department and through numerous collaborators. We are actively collaborating with many experimental laboratories at the University of Michigan and top proteomics labs around the world.