r-centipede 1.2 Predict transcription factor binding sites
CENTIPEDE applies a hierarchical Bayesian mixture model to infer regions of the genome that are bound by particular transcription factors. It starts by identifying a set of candidate binding sites, and then aims to classify the sites according to whether each site is bound or not bound by a transcription factor. CENTIPEDE is an unsupervised learning algorithm that discriminates between two different types of motif instances using as much relevant information as possible.
- Website: http://centipede.uchicago.edu/
- License: GPL 2+, GPL 3+
- Package source: bioinformatics.scm
- Patches: None
- Builds: x86_64-linux, i686-linux