The past few years have seen a marked increase in the demand for pract
ical methods of mutation detection. Over this period of time, both the
development of new methods and improvements in existing methods have
made mutation detection in the research setting a less cumbersome task
. Nevertheless, all of the commonly used approaches to this problem ar
e labor intensive, and truly practical mutation detection methods in t
he clinical setting will depend on the development of more fully autom
ated technology.