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Conclusions
The Keram application has been successfully applied in the
analysis of correlated mutations. It’s intuitive interface easily
detects and shows the positions that reveal simultaneous muta-
tions. The obtained results indicate that simultaneous mutations
are not limited to contacting amino acid pairs. It is suggested that
there exist long distance clustering relationships that manifest
correlated mutational variability.
Comparing to other similar applications [Kass and Horovitz,
2002] Keram can be used ofline as a stand-alone software in
-
stalled on individual PC. The Keram’s output iles can be expolited
to carry more advanced analysis with the aid of other software
offered by our group.
The results achieved by Keram are consistent with the results
obtained with the aid of CORM [Górecki
et al.
, 2005]. These two
applications corroborate each other’s results by independent
conirmation of the accuracy and reliability. Additionally Keram
supports the results of CORM by the graphic visualization of the
detected correlated mutations.
Keram is freely accessible for the non-commercial use at:
http://www.republika.pl/bioware. Also, the source code is avail
-
able upon direct request to the authors.
Acknowledgements
These studies were supported by the PBZ-MIN-014/P05/2005
grant and by CoEBioExploratorium.
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BIO-ALGORITHMS AND MED-SYSTEMS
JOURNAL EDITED BY JAGIELLONIAN UNIVERSITY – MEDICAL COLLEGE
Vol. 7, No. 13, 2011, pp. 77-82
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