  We call change-point problem (CPP) the identification of changes in the
probabilistic behavior of a sequence of observations. Solving the CPP involves
detecting the number and position of such changes. In genetics the study of how
and what characteristics of a individual's genetic content might contribute to
the occurrence and evolution of cancer has fundamental importance in the
diagnosis and treatment of such diseases and can be formulated in the framework
of chage-point analysis. In this article we propose a modification to a
existing method of segmentation with the objective of producing a algorithm
that is robust to a variety of sampling distributions and that is adequate for
more recent method of accessing DNA copy-number which might require a
restriction on the minimum length of a altered segment.
