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. This project is intended to demonstrate the feasibility and viability of integrating specialized tools to access and manage high performance molecular biology applications in a heterogeneous environment. By this integration, solutions to increasingly more difficult problems in the biomedical sciences can be realized. At the same time, this project will demonstrate the ability to perform this integration in a relatively transparent fashion to the user. With the evolution of increasingly more powerful computer architectures, computer networks and application development tools supporting distributed computing environments, this project will utilize some of these evolving technologies and direct them toward solving problems in the biomedical sciences. In particular, we will utilize a variety of machines and architectures to solve computationally intensive evolutionary relatedness of specific genes and protein problems as well as other multiple sequence alignment problems in molecular biology and molecular chemistry. In addition, the output from these systems will be utilized to access sequence specific information found in the cited literature obtainable from various literature databases (e.g., Medline and others). By integrating the tools and utilizing the resources that best address various aspects of these scientific research problems, a researcher can gain access to and utilize the most sophisticated services available from a common access point, the researcher`s local workstation. In addition, the ability to access and integrate these resources across the evolving HPC networks (e.g., vBNS and Abilene (Internet2)) will be explored. Achievements - Created a partnership between University of Missouri and the PSC to support the sequence analysis work of researchers at MU using the Sequence Analysis Resource at the PSC across the vBNS network. Publications - None in the past year. Achievements - Initiated a Swine Genome EST Project funded by Monsanto Corporation in conjunction with researchers in the Animal Sciences Research Center at MU
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