DynBin is a dynamic programming algorithm based binning method for ARISA data analysis which minimizes the overall differences between replicates from the same sampling spot. Data preprocessing identifies several outliers which are later found to be due to systematic errors. Clustering analysis of the time spots based on the binned data reveals important features of the biodiversity of the microbial communities.
- Windows / Linux / MacOsX
- R Package
:: MORE INFORMATION
Quansong Ruan, Joshua A. Steele, Michael S. Schwalbach, Jed A. Fuhrman, Fengzhu Sun (2006),
A Dynamic Programming Algorithm for Binning Microbial Community Profiles.