Iowa State University
Plant Sciences Institute

Laurence H. Baker Center for Bioinformatics and Biological Statistics

Home | Faculty Research | Faculty Contact Info | Seminars | Bioinformatics Support | Bioinformatics2go | Graduate Study | Newsletters | UI-ISU Joint Bioinformatics Workshop | Bioinformatics Summer Institute

The L. H. Baker Center for Bioinformatics and Biological Statistics and the Bioinformatics and Computational Biology Program at Iowa State University consist of a diverse group of highly interactive scientists who are enthusiastic about the challenges and opportunities presented by modern biology. These scientists have expertise in the following interdependent research areas:

  • Bioinformatics - encompasses aspects each of the other disciplines and provides the information science techniques necessary to integrate data from research in genomics, molecular evolution and macromolecular structure/function relationships to provide understanding of biological systems at new levels of complexity.
  • Functional and Structural Genomics - including Genomics initiatives with plants, animals and microbes. These scientists are producing a prodigious quantity of sequence and expression data that has opened up new avenues of biological inquiry.
  • Genome Evolution - including ISU faculty with expertise in molecular evolution with emphasis on whole genome analyses and on understanding patterns and processes of change that occur among genes and genomes over time.
  • Macromolecular Structure and Function - including ISU faculty whose research aims are to discern structural and functional meaning from DNA, RNA and protein sequences.
  • Genome Informatics - Genomes are compared to understand protein functions and how to develop transgenic organisms.

Discussion Groups:

  • Systems Biology
  • Microarray - Deciphering the relations and details of protein expression from microarrays requires the application of sophisticated statistics and mathematics.
  • Sequence to Function - One of the major challenges in the post-genomic era is interpreting genome sequences in terms of the functional proteins in the cell. Success in meeting this challenge requires input from all areas of statistics, mathematics, science and engineering.

E-mail: lhb.bioinformatics@iastate.edu
URL: http://www.bioinformatics.iastate.edu/

Copyright © 2002 Iowa State University
All Rights Reserved