Bioinformatics and Computational Life Sciences Laboratory
  (BCLSL)

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. For more information, go to ITTC Bioinformatics


Lab Resources

Artificial intelligence development tools and languages:
- Lisp, CLOS, CLIPS, Prolog, GBB, OPS, MEM-1
Computational clusters; Linux cluster with 64 dual processor 3.2 Ghz Xeon processors and 64 dual dual core 2.8 Ghz Xeon processors for a 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