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^^ What is DistinctiEnz
DistinctiEnz is a web tool for performing a virtual RFLP with
a set of restriction enzymes on a set of DNA sequences.
The name DistinctiEnz comes from DISTINCTION. The tool was produced
by Mohammadreza Rezailashkajani and Delnaz Roshandel, Department of Bioinformatics,
Research Center for Gastroenterology and Liver Diseases, Shaheed Beheshti
University of Medical Sciences. We wish to express our gratitude
to Caroline Reiff who first suggested the idea of producing
such a tool when we were all taking the Biocomputing module in University
of Manchester.
DistinctiEnz is used to get an
estimate of DISTINCTION power of a set of enzymes for a set of sequences.
In other words, it helps the user to learn with what enzyme or set of enzymes,
he or she can best DISTINGUISH between a set of sequences
using RFLP.
DistinctiEnz performs a restriction analysis on each sequence and examines
all fragments to see how unique the
cut fragments from each sequence are when compared to all other fragment sets
produced from other sequences
in the uploaded set of sequences.
Finally a Resolution Power (Ratio) is calculated
by simply dividing the number of unique-fragment sets by the number
of the submitted sequences. If Resolution power is 100%, it
means that that set of enzymes can fully
perform a DISTINCTION analysis among the submitted sequences. However if only
ONE pattern is produced by all sequences, the resolution power will be set
to 0 (e.g. it is not calculated from the formula above). Unique fragment sets
are detected first by calculating the number of fragments each sequence produces.
If this is unique for each sequence then the resolution is 100%. If either
pair of the sequences produce equal number of fragments then uniqueness is
defined by finding at least one fragment of the 2 sequences having a different
size.
Notice: For very long sequences, if fragments over 100,000 base
pairs are produced then the Resolution Power may be falsely high because
over 100,000 (having a log value near 4) sequences may produce zero or negative
migration distances (see
below). In other words, the application calculates differences while in RFLP
Gel we get lower resolution.
Resolution power = number of unique-fragment sets / number
of the submitted sequences |
The program allows the user to:
Alternatively, DistinctiEnz can be used with uploading a file with one sequence just to simply see the virtual RFLP Gel view of any sequence.