[Computational-biology] Cancer epitome linking and pathway determination made easy

[Diana]

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