PSC BIOMED ROADSHOW: WORKSHOP AT TENNESSEE STATE UNIVERSITY APRIL 6 & 7, 2006

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This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Department of Biological Sciences at Tennessee State University and Pittsburgh Supercomputing Center's National Resource for Biomedical Supercomputing This two-day workshop is designed to teach researchers at Tennessee State University the basics of sequence analysis. Workshop participants will learn how to use tools for sequence analysis on the supercomputers at Pittsburgh Supercomputing Center (PSC). Lectures will be led by Alex Ropelewski, David Deerfield, and Hugh Nicholas. Computer laboratory sessions will follow each lecture. Each participant will receive an account at the PSC to allow them to experiment with the techniques described throughout the workshop. Each of the four topics described below will be covered in a lecture followed by a computer laboratory session: Bioinformatics and Sequence Analysis Resources on the Internet The advent of the Internet and the World Wide Web has substantially increased the availability of information and computational resources available to experimental biologists. This lecture will describe a number of online resources available, including resources and services availiable at the Pittsburgh Supercomputing Center. We will also discuss the use of the EMBOSS software and how to locate and retreive specified sequences from a sequence database. Database Searches and Pairwise Alignments This lecture presents both the mathematical and biological foundations of sequence comparison. That is, the lecture will describe in detail the various sequence alignment algorithms including the approximations made in the heuristics (e.g., FASTA and BLAST) to decrease computational time as opposed to searches with a rigorous algorithms (e.g., Needleman-Wunsch, Smith-Waterman). The lecture will also describe the underlying mathematical and biological bases for the similarity matrices in current use and how these tables should be properly used. The intended goal is to provide a researcher with the necessary background information about the search protocols so that they are assured of making good choices in their database searches and understand the shortcomings of naively using a database searching tool. Multiple Sequence Alignments This lecture covers aligning several sequences in their entirety (global alignments) and how global alignments are related to underlying biological phylogenies. During the lecture, we will describe the mathematical and biological basis for each of the multiple alignment programs and demonstrate the inherent weaknesses in each approach (e.g., ClustalW, MSA, or T-COFFEE). Discovering Diagnostic Patterns and Motifs in Unaligned Sequences Participants will be introduced to motifs and patterns and the various formats in which they are commonly represented, including consensus residues, regular expressions, hidden Markov Models and weight matrices. Discusses methods availiable to identify short, well conserved local patterns, such as promoter sequences or catalytic sites. Also discusses profile analysis and expectation maximization techniques. Participant Information: The local contact for this workshop is Dr. Terrance L. Johnson, Dept. of Biological Sciences, TSU, tjohnson@tnstate.edu, 615-963-5681.