|
MGET
Home
Thematic Basis
Training
Group Faculty
Contact
Information
Application
Information
Research
Areas
Animal
& Microbial Genomics
Bioinformatics
Growth
& Development of Healthy Animals
Infectious
Diseases
Education
Training Programs
Overview
Participating
Departments
Interdisciplinary
Mentoring
Required
Courses
Summer
Internships
ISU
Bioinformatics
Links
Baker
Center
BCB
Home Artificial
Intelligence Lab
Bioinformatics@ISU
ISU
Genome Project
IGERT
Homepage
|
|
Bioinformatics plays a central role in the CBAA training group. This key discipline is essential to the collection, analysis and interpretation of molecular data in biological laboratories. In particular, bioinformatics must meet the challenges presented in gathering and interpreting sequence data from the various animal and microbial genomic projects, and RNA and protein expression data from studies of host-pathogen interactions and animal growth and development. Bioinformatics research involves collaborations among statisticians, computer scientists, mathematicians, engineers, and biologists to develop relevant bioinformatics tools and technologies.
The study of animal growth and development or infectious diseases involves examining pathways that regulate growth or the response to infection. Bioinformatics researchers are developing software tools to allow biological researchers to visualize and then model the activity of such pathways. Visual methods are an important component in discovering such relationships because the human eye can detect unusual patterns which are not detected by numerical algorithms.
A number of bioinformatics researchers are involved in collaborative projects developing and improving tools for such studies. As new data sources become available (e.g., proteomic data, metabolite concentrations, metabolite fluxes), there will be research efforts in computer science to facilitate fast and accurate data collection and in statistics to facilitate accurate data analysis and efficient data collection.
The area of comparative genomics makes use of variation among the genetic sequences of the species in an evolutionary tree to gain a sense of which genes are likely responsible for different aspects of growth and development. Information from evolutionary trees is of great value in that nature has provided a natural laboratory for determining how genetic variation can lead to development of new and altered functions. The techniques of comparative genomics try to access this information.
For
additional information:
Email: mget@iastate.edu
Phone: (515) 294-7937 |
