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Map Quality
We have used several criteria to quantify the quality of the
constructed map. The major criteria included the presence of
unacceptable big errors in the constructed map, the average size
of errors between consecutive clones, and the number of
breakpoints in the clone - order permutation. We now detail how to
estimate the map quality. We measure the distance between clones
a,b as the number of left clone endpoints between the left
endpoints of a and b.
Using the order of the left endpoints of clones in the
constructed map, we compute the distance d1 between
consecutive clones and compare it with the distance d2
between the same two clones in the correct map (note that the two
clones need not necessarily be consecutive or even close in the
correct map). If the difference
|d1 - d2| is more than a
clone's length, we call it a big error. Otherwise, it is
called a small error. The average of the small errors is
also calculated and is called the average error. As it is
possible that the constructed map is oriented in the reverse
direction with respect to the correct one, we repeat the
calculation with reversed orientations. The correct orientation is
assumed to have a longer clone sequence with no big errors. In
case this is not a sufficient criterion (there are no big errors
in both orientations, or the first error in both orientations
occurs after the same number of clones) we choose the orientation
minimizing average error. If still more big errors remain, the
process is resumed, starting from the location of the first big
error. A 0 1 variable any big is defined to be a 1 if the
constructed map contains at least one big error. Its average over
a number of simulations is used to estimate the probability of a
constructed map to contain big errors.
Next: Main Results
Up: Constructing Physical Maps from
Previous: The Construction Algorithm
Itshack Pe`er
1999-03-21