NLM’s statistical methods research focuses on understanding the function and evolution of biological molecules, their involvement in the mechanisms of disease, and the experimental methods used to investigate them. This research studies DNA, protein molecules and the genomes of viruses, microbes, and higher organisms.
Senior Investigator, Computational Biology Branch, NCBI
Stephen Altschul, PhD
- Investigating the automated construction of hierarchical multiple alignments and HMMs for elucidating protein subfamily functions and their sequence determinants
- Developing the LogOddsLogo program and website
- Integrating the hierarchical and direct-coupling formalisms for describing correlations among protein positions
Senior Investigator, Computational Biology Branch, NCBI
John Spouge, MD, PhD
- Developing a rigorous statistical method for identifying disease- and cancer-causing mutations in protein domains
- Investigating short-term viral evolution, particularly HIV in single patients and simian immunodeficiency virus in macaque vaccine trials
Senior Investigator, Computational Biology Branch, NCBI
Yi-Kuo Yu, PhD
- Developing protein knowledge databases and mass spectrometry-based pathogen identification and metaproteomics methods
- Investigating green energy production using microbes
- Developing rigorous methods for understanding long-range molecular interactions
