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Center for Computational Research

Andrew E. Bruno

Andrew Bruno

Senior Systems Administrator

Andrew has been with the Center for Computational Research since 2007.  He has a B.S. in Computer Science and an M.S. in Bioinformatics and Biostatistics from the University at Buffalo.

Software

  • FUSIM - a software tool for simulating fusion transcripts
  • miRdSNP - a database of disease-associated SNPs and microRNA target sites on 3'UTRs of human genes
  • UBMoD (UB Metrics on Demand) - an open source data warehouse and web portal for mining statistical data from resource managers (TORQUE and OpenPBS) commonly found in high-performance computing environments.

Research Support:

  • Western New York Stem Cell Culture and Analysis Center
    • Provide facilities that will make it faster and more efficient for researchers currently using stem cells to generate, culture, analyze and test these cells both in vitro and in therapeutic non human models.
    • C026714      PI: Gronostajski, Richard    11/2011 - 10/2015
    • New York State Department of Health
    • Role: Data Manager
  • Technology Audit and Insertion Service for TeraGrid
    • Development of an active set of tools and services to monitor the advanced TG:XD cyberinfrastructure and insure its ability to meet the research needs of the end user as well as an advanced web-based interface to present role-specific views of audit results.
    • OCI1025159      PI: Furlani, Thomas   07/2010 - 06/2015
    • National Science Foundation
    • Role: System Administrator
  • Development of An Expert Crystallization Knowledge System
    • Development of an expert crystallization knowledge system and web-based user interface to optimize conditions and factors that drive the crystallization of macromolecular samples.
    • 1R01GM088396      PI: Snell, Edward H     01/2010 - 12/2014
    • National Institutes of Health (subcontract from Hauptman Woodward Institute)
    • Role: Programmer/Database Administrator

Publications:

  1. Andrew E. Bruno, Jeffrey C. Miecznikowski, Maochun Qin, Jianmin Wang and Song Liu. FUSIM: a software tool for simulating fusion transcripts. BMC Bioinformatics, 14:13, 2013. doi:10.1186/1471-2105-14-13
  2. Thomas R. Furlani, Matthew D. Jones, Steven M. Gallo, Andrew E. Bruno, Charng-Da Lu, Amin Ghadersohi, Ryan J. Gentner, Abani Patra, Robert L. DeLeon, Gregor von Laszewski, Fugang Wang, and Ann Zimmerman. Performance metrics and auditing framework using application kernels for high-performance computer systems. Concurrency and Computation: Practice and Experience , 2012. doi:10.1002/cpe.2871
  3. Andrew E. Bruno, Li Li, James L. Kalabus, Yuzhuo Pan, Aiming Yu, Zihua Hu. miRdSNP: a database of disease-associated SNPs and microRNA target sites on 3'UTRs of human genes. BMC Genomics, 13(1):44, 2012. doi:10.1186/1471-2164-13-44
  4. Zihua Hu and Andrew E. Bruno. The influence of 3'UTRs on MicroRNA Function Inferred from Human SNP Data. Comparative and Functional Genomics, 2011:910769, 2011. doi:10.1155/2011/910769
  5. Thomas R. Furlani, Matthew D. Jones, Steven M. Gallo, Andrew E. Bruno, Charng-Da Lu, Amin Ghadersohi, Ryan J. Gentner, Abani K. Patra, Robert L. DeLeon, Gregor von Laszewski, Lizhe Wang, and Ann Zimmerman. Performance metrics and auditing framework for high performance computer systems. In Proceedings of the 2011 TeraGrid Conference: Extreme Digital Discovery, TG '11, pages 16:1-16:1, New York, NY, USA, 2011. ACM. doi:10.1145/2016741.2016759
  6. Daniel P. Gaile, Lori A. Shepherd, Andrew E. Bruno, Song Liu, Carl D. Morrison, Lara E. Sucheston, and Jeffrey C. Miecznikowski. iGenomicViewer: R package for visualisation of high dimension genomic data. International Journal of Bioinformatics Research and Applications, 6:584-593, 2010. doi:10.1504/IJBRA.2010.038739
  7. J. A. Delmerico, N. A. Byrnes, A. E. Bruno, M. D. Jones, S. M. Gallo, and V. Chaudhary. Comparing the performance of clusters, Hadoop, and Active Disks on microarray correlation computations. In Proc. International High Performance Computing (HiPC) Conference, pages 378-387, 2009. doi:10.1109/HIPC.2009.5433190 (Acceptance rate: 18.8%, 49/261)