Bioinformatics and Computational Biology Core Facility The University of Texas Health Science Center and the University of Texas San Antonio The University of Texas Health Science Center and the University of Texas San Antonio

Purpose  To build infrastructure to significantly advance collaborative bioscience research in San Antonio

Significance  The healthcare and biotechnology lead the San Antonio economy:  Annual economic impact of $11.5 billion  Employs more than 98,000 citizens  With the South Texas Medical Center and more than 30 other medical facilities, San Antonio has become a leading research and treatment center for:  Cancer  Diabetes  Heart disease  Lupus  Burgeoning biotechnology development base  The healthcare and biotechnology lead the San Antonio economy:  Annual economic impact of $11.5 billion  Employs more than 98,000 citizens  With the South Texas Medical Center and more than 30 other medical facilities, San Antonio has become a leading research and treatment center for:  Cancer  Diabetes  Heart disease  Lupus  Burgeoning biotechnology development base

Program Objectives  Foster the use of state-of-the-art core computational and analytic facilities  Enhance local expertise in San Antonio  Consult with outside experts  Develop training opportunities  Bring in new talent  Foster the use of state-of-the-art core computational and analytic facilities  Enhance local expertise in San Antonio  Consult with outside experts  Develop training opportunities  Bring in new talent

Implications  This program can have positive scientific, educational, and economic impact for the San Antonio university components as well other partner organizations  We can further capitalize on the existing partnership between UTHSCSA and UTSA (SALSI, new Ph.D. in Biostatistics/Bioinformatics)  This program can have positive scientific, educational, and economic impact for the San Antonio university components as well other partner organizations  We can further capitalize on the existing partnership between UTHSCSA and UTSA (SALSI, new Ph.D. in Biostatistics/Bioinformatics)

UTHSCSA-UTSA Bioinformatics/Computational Biology Program Administration Pollock, Bower Internal Advisory Committee External Advisory Committee Scientific Users Committee Management Work Group Core Facilities Support Unit Analysis Unit Visualization Unit Modeling Unit Training Work Group Software Support Hardware Support

Scientific Liaison Positions  Three Scientific Liaison positions are currently being recruited  Research faculty positions (Ph.D.-level) requiring significant experience in both experimental and computational biology  Primary responsibility is to foster development and application of applied computational methodologies within existing individual laboratories and research programs at UTHSCSA and UTSA  Liaisons are expected to work with several different labs on:  Experimental design  Development of analysis plans  Identification of training needs in computational techniques  Three Scientific Liaison positions are currently being recruited  Research faculty positions (Ph.D.-level) requiring significant experience in both experimental and computational biology  Primary responsibility is to foster development and application of applied computational methodologies within existing individual laboratories and research programs at UTHSCSA and UTSA  Liaisons are expected to work with several different labs on:  Experimental design  Development of analysis plans  Identification of training needs in computational techniques

Bioinformatics/Computational Biology Core Facility Zhiwei Wang, Director

Core Facility Objectives  To provide resources to increase the use of computational methods in biology  To maintain highly useable computing resources  To provide mass data storage  To provide user support for all of the major software packages for computational biology and bioinformatics  To provide resources to increase the use of computational methods in biology  To maintain highly useable computing resources  To provide mass data storage  To provide user support for all of the major software packages for computational biology and bioinformatics

Computing and Data Storage Resources  Three Dell 670 workstations (dual-CPU, 6G memory) and one Apple’s Power G5 (dual- CPU, 8G memory)  SUN E2900 Midrange server (12 CPUs, 96G memory)  The Sun StorEdge 3511(6 Terabytes)  The Sun StorEdge L100 tape library (40 Terabytes)  10 SUN Ultra 20 workstations  Three Dell 670 workstations (dual-CPU, 6G memory) and one Apple’s Power G5 (dual- CPU, 8G memory)  SUN E2900 Midrange server (12 CPUs, 96G memory)  The Sun StorEdge 3511(6 Terabytes)  The Sun StorEdge L100 tape library (40 Terabytes)  10 SUN Ultra 20 workstations

Software and Training  The facility licenses expensive software packages to share among the researchers. So far, we have MATLAB, GeneSpring, Igor, etc.  The facility provides support for free software.  A series of training sessions have been scheduled after the grand opening of the Core Facility, including AffyMetrix, GeneSpring, etc.  The facility licenses expensive software packages to share among the researchers. So far, we have MATLAB, GeneSpring, Igor, etc.  The facility provides support for free software.  A series of training sessions have been scheduled after the grand opening of the Core Facility, including AffyMetrix, GeneSpring, etc.

Data Storage Service  The data storage service will be provided via NFS, SMB and web- based drag and drop (UTHSCSA Virtual).  Cross-campus traffic will be encrypted to ensure the privacy of the data.  The data storage service will be provided via NFS, SMB and web- based drag and drop (UTHSCSA Virtual).  Cross-campus traffic will be encrypted to ensure the privacy of the data.

Recent Development  Moved in the new building at UTSA

“Grand Opening” March 22 nd from 5:00 – 7:00 PM Biotechnology Science & Engineering Building (BSE) Room 3.114, UTSA March 22 nd from 5:00 – 7:00 PM Biotechnology Science & Engineering Building (BSE) Room 3.114, UTSA