Epitome Linking Made Easy
Our software can make finding the pathways and links to epitomes
easy. For example, if you download an epitome file that has the
epitomes point to point, our program can generate a map or a pathway
in a few seconds. The map will connect all the pathways and forks. The
benefit is that the hard part of the analysis is done by the program,
and the rest of process is easy for researcher.
Where to purchase or get the demonstration versions
To purchase the program, please click on the link below:
http://www.shareit.com/product.html?cart=1&productid=300166418
Or, to try the demo, please click on this link:
http://download.cnet.com/Kanecki-Prolog-DBMS-400i/3000-2065_4-10699315.html?tag=mncol
Advanced Linking / Solving Solution Using Cancer Database
I would like to show Kanecki Prolog is used to determine linkages for
various cancer markers. The problem involved using another database
program which listed the markers in pairs as “marker-A marker-B.”
The problem is that to find how they link together, most database or
solvers cannot do this. This is where Kanecki Prolog can do it!
1. SETUP
To start, an output file was produced from the other program similar
to:
HMOI PDR11
HMO l TAF19
HMOl TAF40
HMOl TEMl
HOC1 MNN10
HOC1 MNN11
HOC1 MNN9
HOGl PBS2
HOG1 RCKl
HOG1 YGR058W
2. OBTAINING THE LINKS
To obtain the linkage, one would first save the data into a text file
with a name like “cancerdb1.txt” for use with Kanecki Prolog. Then,
one would instruct Kanecki Prolog to read and process the data via the
commands:
see cancerdb1 ?
To read the data into the file, one would produce the links via the
“X” solver command as:
X ?
Results Produced
The results produced show the marker linkages from a cancer database.
Also, the advantage of having a linkage map is that one can develop a
research process to isolate or collect a group of cells that have
these characteristics. Also, this analysis saves time and money as it
can be performed easily by Kanecki Prolog on any database.
The marker database example is one practical and yet very advanced
application of Kanecki Prolog 101a.
A Cancer Database Analysis Performed by Kanecki Prolog March 7th, 2004
(C) 1986-2010
By D. Kanecki
Kanecki Prolog can be used to perform an analysis and find links in
cancer. In this example, a twenty five page sample was used, and
these are the linkages that are found. The results can be read as:
( a
b )
c )
)
which is used to represent data sets, abstractly, ( a b ) and ( b c ).
This example represents a conjugated marker.
This result was obtained in less than thirty seconds on a XP laptop
using the “X” solver method. In this analysis, single and conjugated
markers are identified easily. XOXO
p> send result3 ?
yes
p> X ?
X= ( aacl
tim10)
)
X= ( aad6
ynl201c)
)
X= ( abpl
actl)
)
X= ( abp1
rvs167)
)
X= ( abpl
srv2)
)
X= ( acc1
dmcl)
)
X= ( acc1
snpl)
)
X= ( ace2
ynl157w)
)
X= ( acs2
snpl)
)
X= ( act1
aipl)
)
X= ( act1
aip2)
)
== Polymorphic marker site found
===============================================================
X= ( abpl
actl)
beml)
)
A polymorphic marker site !!!
===============================================================
Where to purchase or get the demonstration versions
To purchase the program, please click on the link below:
http://www.shareit.com/product.html?cart=1&productid=300166418
Or, to try the demo, please click on this link:
http://download.cnet.com/Kanecki-Prolog-DBMS-400i/3000-2065_4-10699315.html?tag=mncol
Thank you for you time.
Sincerely,
Diana Kanecki
DM Learner, MBA, ACS, Bio. Sci.
President/CEO
Kanecki Associates, Inc.
P.O. Box 866
Kenosha, WI 53141
d.kanecki from yahoo.com
