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Michael Brudno
Assistant Professor & Canada Research Chair in Computational
Biology
University of Toronto
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I am co-organizing an ISMB 2008 Special Interest Group (SIG) on Algorithms for Short Reads Assembly & Analysis Research Summary:NEW: Try SHRiMP for mapping short reads (Illumina/Solexa or AB SOLiD). My main research direction is the development of computational methods for the analysis of biological datasets, especially genomic DNA. Currently one of the main foci is the development of algorithms for assembly, mapping, and analysis of short read data. Other work includes genome alignment as well as detection and analysis of genome variation within a species. Please see the research page for more details. Current Teaching:CSC 2431 -- Topics in Computational Biology -- Next Generation Sequencing Technology in Winter 2008 Brief Academic Bio:I got my PhD from the Computer Science Department of Stanford University developing several approaches for comparison of genomic sequences, including the LAGAN Alignment Toolkit, "glocal" alignment algorithms for sequences with rearrangements, and whole genome alignments. My postdoc work at the Computer Science Division, UC Berkeley primarily addressed the problem of whole genome assembly from shotgun read data. After my postdoc I was a Visiting Scientist at CSAIL (MIT) before starting as an Assistant Professor at the University of Toronto in January 2006. Contact info:
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