MCPD 2.02
:: DESCRIPTION
MCPD is used in the analyis of pooling experiments for library screening. Pools are collections of clones, and screening a pool with a probe is a group test, determining whether any of these clones are positive for the probe. The results of the pool screenings are interpreted, or decoded, to infer which clones are candidates to be positive using a Markov chain Monte Carlo approach. MCPD implements this MCMC to compute marginal probabilities of clones using a Bayesian model for the experiment
::DEVELOPER
Alexander Schliep’s group for bioinformatics
:: SCREENSHOTS
N/A
:: REQUIREMENTS
- Linux / Windows / MacOsX
- C Compiler
:: DOWNLOAD
:: MORE INFORMATION
Citation
J Comput Biol. 1996 Fall;3(3):395-406.
Interpretation of pooling experiments using the Markov chain Monte Carlo method.
Knill E, Schliep A, Torney DC.