Bioinformatics & Modeling Research

Bioinformatics and modelingThe University of Kansas is home to several service laboratories providing computational services in the areas of chemical biology, proteomics, and genome informatics research. These laboratories provide a broad range of services are available for:
  • Consultation on experimental design and research approaches
  • Report, grant, and manuscript preparation
  • Training and support for students, staff, and faculty on experimental techniques and research methods

Computational Chemistry, Cheminformatics, and Chemical Biology
The Molecular Graphics and Modeling Laboratory provides a number of computational services aimed toward chemical biology and translational science in biomedical research. For example:

  • Machine learning and data mining for large scale, multidimensional chemical biology data sets
  • Docking and virtual screening of small molecule ligands against protein targets of interest
  • Molecular dynamics simulation and modeling of small/macro molecules, proteins, and biomolecular systems
  • Analysis of structure-activity relationships
  • Visualization and graphics of biomolecules and biomolecular systems
  • Custom algorithm/software development along with databases and web applications

Genome Informatics and Systems Biology

The Genomics and Bioinformatics Laboratory serves the needs of investigators engaged in computationally-intensive biomedical research by providing assistance in these areas:

  • RNA-seq analysis
  • Genome assembly (via a reference sequence or de novo)
  • Variant calling and mutation detection
  • ChIP-seq analysis
  • Restriction-site Associated DNA sequencing (RAD-seq) analysis

Proteomics and Genomics

The Applied Bioinformatics Lab (ABL) is a research-oriented core laboratory providing advanced and comprehensive informatics support to the research community. The ABL staff work on a variety of projects including:

  • Data analysis and mining in proteomics, genomics and chemistry
  • Systems biology approaches such as pathway, network and interaction analyses; Large scale statistical and machine learning studies
  • Protein structure, function and stability prediction, sequence and domain analyses
  • Design and implementation of relational databases and software programs

Applied Bioinformatics
Computational Chemical Biology
Genomics and Bioinformatics
Molecular Graphics and Modeling


Biochemistry & Protein Science

Bioinformatics & Modeling


Materials Characterization

Molecular Structures

Translational Biology

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