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Russ Miller

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Software, device develop, drug therapies. Buffalo Center of Excellence in Bioinformatics ... High-Throughput Search Process for Structural Biology ... – PowerPoint PPT presentation

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Title: Russ Miller


1
SC2003 Panel The Simplification of
Supercomputing Clustering, Appliances and Grid
Computing
University at Buffalo
The State University of New York
The WNY Bioinformatics Grid
  • Russ Miller
  • Director, Center for Computational Research
  • UB Distinguished Professor, Computer Science
    Engineering
  • Senior Research Scientist, Hauptman-Woodward
    Medical Inst

2
Biomedical Advances
  • PSA Test (screen for Prostate Cancer)
  • Avonex Interferon Treatment for Multiple
    Sclerosis
  • Artificial Blood
  • Nicorette Gum
  • Fetal Viability Test
  • Implantable Pacemaker
  • Edible Vaccine for Hepatitis C
  • Timed-Release Insulin Therapy
  • Anti-Arrythmia Therapy
  • Tarantula venom
  • Direct Methods Structure Determination
  • Listed on Top Ten Algorithms of the 20th
    Century
  • Vancomycin
  • Gramacidin A
  • High Throughput Crystallization Method Patented
  • NIH National Genomics Center Northeast
    Consortium
  • Howard Hughes Medical Institute Center for
    Genomics Proteomics

3
Center for Computational Research (10TF/20TF
90TB)
  • SGI Origin3800
  • 64 Processors (400 MHz)
  • 32 GB RAM 400 GB Disk
  • IBM RS/6000 SP
  • 78 Processors
  • 26 GB RAM 640 GB Disk
  • Sun Microsystems Cluster
  • 48 Sun Ultra 5s (333MHz)
  • 16 Dual Sunblades (750MHz)
  • 30 GB RAM, Myrinet
  • SGI Intel Linux Cluster
  • 150 PIII Processors (1 GHz)
  • 75 GB RAM, 2.5 TB Disk Storage
  • Apex Bioinformatics System
  • Sun V880 (3), 6800, 280R (2), PIIIs
  • Sun 3960 7 TB Disk Storage
  • HP/Compaq SAN (4Q03)
  • 75 TB Disk 200 TB Tape
  • Dell Linux Cluster
  • 600 P4 Processors (2.4 GHz)
  • 600 GB RAM 40 TB Disk Myrinet
  • Dell Linux Cluster
  • 4036 Processors (PIII 1.2 GHz)
  • 2TB RAM 160TB Disk 16TB SN

4
Bioinformatics in BuffaloA 360M Initiative
  • New York State 121M
  • Federal Appropriations 13M
  • Corporate 146
  • Foundation 15M
  • Grants Contracts 64M

5
Bioinformatics Partners
  • Lead Institutions
  • SUNY-Buffalo
  • Hauptman-Woodward Medical Research Inst.
  • Roswell Park Cancer Institute
  • Corporate Partners
  • Amersham Pharmacia, Beckman Coulter, Bristol
    Myers Squibb, General Electric, Human Genome
    Sciences, Immco, Invitrogen, Pfizer
    Pharmaceutical, Wyeth Lederle, Zeptometrix
  • Dell, HP, SGI, Stryker, Sun
  • ATT, Sloan Foundation
  • InforMax, Q-Chem, 3M, Veridian
  • BioPharma Ireland, Confederation of Indian
    Industries

6
Critical Resources
  • Computational Resources (CCR)
  • 10TF Computing 75TB Storage
  • Instruments (HWI, RPCI)
  • Microarray Diffractometer NMR
  • High-Throughput Crystallization Laboratory
  • Data Generation (HWI)
  • 7TB per year
  • Databases (UB-N, UB-S, BGH, CoE)
  • SnB Multiple Sclerosis Protein/Genomic

7
Network Connections
Medical/Dental
BCOEB
8
Network Connections (New)
Medical/Dental
BCOEB
9
Advanced CCR Data Center (ACDC) Computational
Grid Overview
Fogerty Condor Flock Master
T1 Connection
Note Network connections are 100 Mbps unless
otherwise noted.
10
ACDC Data Grid Overview
182 GB Storage
70 GB Storage
100 GB Storage
100 GB Storage
56 GB Storage
136 GB Storage
Network Attached Storage 480 GB
CSE Multi-Store 2 TB
Storage Area Network 75 TB
Note Network connections are 100 Mbps unless
otherwise noted.
11
Grid Overview
  • Heterogeneous Computational Data Grid
  • Currently in Beta with Shake-and-Bake
  • WNY Release in March
  • Bottom-Up General Purpose Implemenation
  • Ease-of-Use User Tools
  • Administrative Tools
  • Back-End Intelligence
  • Backfill Operations
  • Prediction and Analysis of Resources to Run Jobs
    (Compute Nodes Requisite Data)

12
Conclusion
  • Mission
  • Enable Science!!
  • Short-Term Goals
  • Limited Scope
  • Cooperative Organizations
  • Production Quality (hands off)
  • User Centric

13
Outline
  • Bioinformatics in Buffalo
  • Supercomputing Visualization
  • Grid Computing Overview
  • Grid Computing in Buffalo
  • Shake-and-Bake Computational Crystallography
  • ECCE Computational Chemistry

14
Bioinformatics in BuffaloA 290M Initiative
  • UB Center for Advanced Bioengineering
    Biomedical Technologies
  • NYS 1M/yr
  • Med Tech for Product Dev Commer.
  • Center Disease Modeling Therapy Discovery
  • UB, HWI, RPCI, Kaleida
  • NYS 15.3M
  • Software, device develop, drug therapies
  • Buffalo Center of Excellence in Bioinformatics
  • UB, HWI, RPCI
  • NYS 61M
  • Federal Government 10M
  • Corporate Funding 151
  • UB Faculty GC Funding 64M

15
Experimental Facilities I
  • Molecular Targeting Laboratory
  • Screen 30-50K compounds every 3 months
  • Apply compound to cell (different genes treated w
    fluor markers)
  • Rapidly identify effect on specific gene
    expression pathways
  • Gene Expression Laboratory
  • High-throughput microarray and gene chip
  • Discover new genes, their functions, and pathways
  • Proteomics and Molecular Kinetics Lab
  • Identify molecular targets found in Gene
    Expression Lab
  • Disease Modeling Laboratory
  • In vivo testing (flies, mice, baboons,)
  • Gene targeting and genetic mapping facilities

16
Experimental Facilities II
  • Bioengineering Support Laboratory
  • Capabilities in photonics and nano-tech research
  • E.g., handheld devices to test for diseases
  • Protein Scale-Up and Purification
  • High-Throughput Robotic Combinatorial Chemistry/
    Parallel Synthetic Chemistry Capabilities
  • Drugs created robotically Tested for interaction
    with target protein
  • Rapid identification of a large number of
    potential drugs
  • Public Health and Molecular Pathology
  • Tissue repositories disease gene maps medical
    informatics
  • High-Throughput Search Process for Structural
    Biology
  • Tests 1536 chemical cocktails to determine
    effective parameters for crystallization
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