Ohio State University Multiomics
SUMO
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Welcome to the SUMO group! Our collective laboratory works on problems of computational biology while leveraging methods from bioinformatics, visualization, and image analysis. Our group has engineered several workflows for processing and analyzing images for problems in cancer, neuro, and wound biology and immunology. We have developed algorithms that have been adapted for exploration in the laboratory at the microscopic scale (confocal, brightfield, histology, etc.) and in radiology clinics (diffusion tensor MR, fMRI, etc.). Our algorithms are derived from the fields of computer vision and machine learning. In addition, we are also developing tools for processing sequence data (micro array, RNA-seq, CHiP-seq). Kun Huang is also a Co- director of the Bioinformatics Share Resource facility in the Comprehensive Cancer Center. This combined focus of image informatics and bio informatics is serving us well and we collaborate with several groups on campus and elsewhere.

Projects

SUMO's active projects

iGPSe

A visual analytic system for integrative genomic based cancer patient stratification

GRAPHIE

Graph based histology image explorer

People

Hao Ding

Ph.D. Candidate in Computer Science & Engineering

Kun Huang, Ph.D.

Associate Professor, College of Medicine

Raghu Machiraju, Ph.D.

Professor, College of Engineering and College of Medicine

Papers

  1. iGPSe: A Visual Analytic System for Integrative Genomic Based Cancer Patient Stratification . Ding H, Wang C, Huang K, Machiraju R. International Symposium on Biological Data Visualization (BioVis) 2014. [web]
  2. GRAPHIE: Graph based Histology Image Explorer. Ding H, Wang C, Huang K, Machiraju R.  International Symposium on Biological Data Visualization (BioVis) 2015. [web]