Analysis of big data from aCGH experiments using parallel computing and ff objects
Description
Analysis and plotting of array CGH data. Allows usage of
Circular Binary Segementation, wavelet-based smoothing
(both as in Liu et al., and HaarSeg as in Ben-Yaacov and Eldar),
HMM, BioHMM, GLAD, CGHseg. Most computations are
parallelized (either via forking or with clusters, including
MPI and sockets clusters) and use ff for storing data.