Iowa State University
Laurence H. Baker Center for
Bioinformatics & Biological Statistics

Welcome


We facilitate and enhance research in bioinformatics and biological statistics by fostering interactions and communication among the faculty, outside laboratories, granting agencies, and companies.

The Laurence H. Baker Center engages in research to:

  • develop computational, graphical, statistical, mathematical, algorithmic, and systems methods to interpret or mine information from biological data
  • apply quantitative approaches in biology
  • bridge separate experimental biology areas with creative and innovative computational approaches
  • impact biology by incorporating more quantitative studies
  • bring new technologies to the interface between biology and the quantitative sciences

The Center's research excellence is demonstrated strongly by members' grant successes. Grant funding for Center Members continues to Increase at an all-time high rate.

pic_computer Now Available New Computer Clusters to Support Members' Computational Needs, with High Priority Given to Next Generation Sequencing Projects and Molecular Dynamics
further information ...
pic_DNA New groups organized to ENGAGE with your colleagues in New Focus Groups Spanning Biology through Computations
  • Phenomics
    group leaders - Pat Schnable and James Reecy
  • Omics & Environment
    group leaders - Anne Bronikowski and Greg Phillips
  • Bridging between molecular structures and cell structure
    group leaders - Robert Jernigan and Diane Bassham

Report from BCB Faculty Forum, April 2012
pic_news Announcing - a new seed grant for Biocatalysis Nano-Machines

The Baker Center for Bioinformatics and Biological Statistics has teamed up with the Center for Metabolic Biology to develop a new seed grant program.

One award with a 3-year budget of approximately $92,000 will provide seed support for one new project focusing on the computational modeling and experimental validation for harnessing the power of protein complexes as nano-scale machines.

There are significant unexplored opportunities from integrating the rapidly growing bodies of knowledge and methods.

See the attached announcement for the full details: Biocatalysis Nanomachines Initiative and PSI Grant FY13 Budget Template .