What is computational biology?
Modern life sciences produce way more data than biologists with no statistical and computational training can comprehend. Genomic and transcriptomics databases, protein databanks, MRI images of the human brain, and remote sensing data on landscapes contain unprecedented amounts of detailed information that are transforming almost all of biology. Computational biology is needed to identify biomarkers and cures for complex diseases such as cancer or to guide the breeding of new crops and livestock varieties to feed the ever increasing population of the Earth.
UNL faculty involved in computational biology:
- Bertrand Clarke: modeling of biological systems using ‘omics data
- Jennifer Clarke: statistical bioinformatics
- Istvan Ladunga: bioinformatics, computational and systems biology, network science, regulation of genes and proteins, genomics, transcriptomics, and algal biology
- Yumou Qiu: High-dimensional statistical inference and its application in genetic analysis. Inference for large covariance matrices, testing sparse and weak treatment effects, high-dimensional classification.