Bioinformatics Computing Laboratory (BCL)

BCL serves as a core facility for the Border Biomedical Research Center (BBRC) funded by the National Institute of Health (NIH Grant #G12MD007592). With a panel of consulting faculty from the departments of Biological Sciences, Chemistry, Computer Science, Electrical and Computer Engineering, and Mathematical Sciences, our bioinformatics computing support ranges from mathematical modeling to software usage, genomic and biomolecule analysis, including both the computational and experimental components in biomedical research. In particular, we provide services in developing databases and software for genomics and proteomics data analysis, biomolecular sequence analysis and structure prediction, and glycosylation site prediction. These research tools are implemented with the equipment in BCL, its satellite sites, and other high-performance computing facilities on UTEP campus. Web-based, user-friendly interfaces are built for these bioinformatics software tools to be utilized primarily by researchers in the border region. To enhance our support for cancer prevention and research with the concept of personalized medicine at a state level, BCL is also involved in developing reliable algorithms for digital patient ID systems using secure tags integrated with large-scale bioinformatics databases.


The following bioinformatics computing tools are available for open access; please contact us for further support services.

Visit RNA Virtual Lab... Visit ISOGlyP...

Visit PseudoBase++...

Run RNA Prediction...


Run RNA Segmentation...

Fee Schudule
  BBRC Investigators - No Charge
  Initial Consultation and Research Proposal Development - No Charge
  General Bioinformatics Computing Support - $80/hour
  Software Development and Computational Modeling - $120/hour
Download BCL Forms (fillable Word files)
  Account Request Form
  Damage and/or Malfunctioning of Computer Resources

Software Request Form


Special Computer Reservation Request Form

Consulting Faculty and Their Research Specialty Areas

  CX : Chuan "River" Xiao

EW: Elizabeth Walsh


KJ : Kyle Johnson


IA : Igor Almeida

  JZ : Jianying Zhang

ML: Ming-Ying Leung


MN: Mahesh Narayan

  NS : Naijun Sha
  OF : Olac Fuentes
  PT : Patricia Teller

RB : Ricardo Bernal


SA : Steve Aley


VK : Vladik Kreinovich


WQ: Wei Qian

Consulting Faculty Initials:
  Cancer Biomarker Analysis                        

Cancer Informatics














Computational Biology












Cryo-EM Data Analysis













Data Processing Under Uncertainty













  Data Security and Computer Architecture                          

DNA and Next-Generation Sequencing













  Glycosylation Site Prediction  







































  Genome Sequence Assembly  












  High-Performance Computing                          

Intelligent Data Processing













  Large-Scale Testing (TACC Supercomputer)                          
  Machine Learning  












  Macromolecule Assembly  













Mass Spectrometry













  Medical Imaging                          
  Microarray Analysis  











  Molecular Sequence Analysis  























  Phylogenetic Analysis  











  Probabilistic Modeling  











  Protein Structure Prediction
























  RNA Regulation                            
  RNA Structures  










  RNAi Screens                            
  Sequence Assembly  












Statistical Genetics and Genomics












  Tomography Data Analysis                            













Viral Genomics












X-ray Crystallography














BCL is supported in part by the following grants:

National Institutes of Health (NIH): G12MD007592, S06GM08012-35, and 3T34GM008048-20S1


National Science Foundation (NSF): DMS#800272


Texas Higher Education Coordinating Board (THECB) Norman Hackerman Advanced Research Program (NHARP): 003661-0008-2006 and 003661-0013-2007


We also thank the support for the consulting faculty by the departments of Biological Sciences, Chemistry, Computer Science, Electrical and Computer Engineering, and Mathematical Sciences.