fastseg implements a very fast and efficient segmentation algorithm. It has similar functionality as DNACopy (Olshen and Venkatraman 2004), but is considerably faster and more flexible. fastseg can segment data from DNA microarrays and data from next generation sequencing for example to detect copy number segments. Further it can segment data from RNA microarrays like tiling arrays to identify transcripts. Most generally, it can segment data given as a matrix or as a vector. Various data formats can be used as input to fastseg like expression set objects for microarrays or GRanges for sequencing data. The segmentation criterion of fastseg is based on a statistical test in a Bayesian framework, namely the cyber ttest (Baldi 2001). The speedup arises from the facts, that sampling is not necessary in for fastseg and that a dynamic programming approach is used for calculation of the segments' first and higher order moments.
Package details 


Author  Guenter Klambauer 
Bioconductor views  Classification CopyNumberVariation 
Maintainer  Guenter Klambauer <[email protected]> 
License  LGPL (>= 2.0) 
Version  1.23.0 
URL  http://www.bioinf.jku.at/software/fastseg/fastseg.html 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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