The Bioinformatics and Computational Life-Sciences Laboratory (BCLSL) advances methods and tools geared to biological, biochemical, and medical applications.

BCLSL investigators work with collaborators in the life sciences to identify research, develop, and apply key computational approaches. These efforts directly involve the biological and medical domains in areas of modeling, analysis, and data management.

In addition, concomitant research in traditional computational methods such as algorithm optimization, data- and compute-intensive methodologies, and statistical methods are pursued to meet the specialized needs of these problem domains.

This interdisciplinary work in applied and basic research involves investigators from computer science, electrical engineering, mathematics, and life-science and medical disciplines.


  • Artificial intelligence development tools:
    • Lisp, CLOS, CLIPS, Prolog, GBB, OPS, MEM-1
  • Computational clusters
    • Linux cluster with 64 dual processor 3.2 Ghz Xeon processors
    • 64 dual dual core 2.8 Ghz Xeon processors
    • total of 384 processors
  • 37 TB of on-line storage
  • Reconfigurable floating-point gate arrays
  • Bioinformatics software including:
    • ClustalW, Emboss GENSCAN, hmmer, Ncbi toolkit
  • Data mining tools:
    • SNOB, Cobweb, ID3, C4.5, statistical analysis packages, LERS Genomics Unified Schema installation
  • Information retrieval and Web tools:
    • KUIR Information Retrieval Library
  • Parallel development tools including
    • MPI, Pfortran, and PC
  • Parallel GROMOS for molecular dynamics