Background: We develop a Bayesian method based on MCMC for estimating the relative rates of pericentric and paracentric inversions from marker data from two species. The method al...
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Computational Biology needs computer-readable information records. Increasingly, meta-analysed and pre-digested information is being used in the follow up of high throughput exper...
Background: Single Nucleotide Polymorphisms (SNPs) are an increasingly important tool for genetic and biomedical research. Although current genomic databases contain information o...
The Protein Information Resource (PIR; http://wwwnbrf.georgetown.edu/pir/ ) supports research on molecular evolution, functional genomics, and computational biology by maintaining...
Winona C. Barker, John S. Garavelli, Daniel H. Haf...