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                            Computational Challenges in Top-Down Proteomics

                            Genomics, Proteomics & Bioinformatics Outstanding Scientist Forum

                             

                            Forum

                             

                            Title:   Computational Challenges in Top-Down Proteomics

                             

                            Speaker:   Dr. Xiaowen Liu

                                            Assistant Professor

                             Department of BioHealth Informatics

                             Indiana University-Purdue University Indianapolis       

                             

                            Host:  Dr. Xiaomin Lou

                             

                            Time:  10:00-11:30 am, Nov 14, 2014

                             

                            Location:   First-floor seminar hall, Conference Room, BIG, CAS


                            ------------------


                            Abstract:


                            While the genome provides the blueprint of gene products, proteins are the bricks and mortar of biology. Mass spectrometry (MS) is the core technology for the study of proteins, their post-translational modifications, and their interactions. Over the past decade, proteomics has been dominated by bottom-up MS that digests proteins into fragments and analyzes the resulting short peptides. Since information about intact proteins is lost during digestion, recent studies advocated top-down MS that analyzes intact proteins and gives rise to many computational challenges. While top-down MS researchers have made great progress, the algorithms for interpreting top-down MS data are still in their infancy. We describe computational challenges and combinatorial algorithms for the analysis of top-down MS data and show how they enable new biological applications.


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