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Analysis of relationship between amino acid composition of proteins and environmental features of microorganisms using evolutionary algorithm and self-organizing maps

Published: 06 July 2013 Publication History

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References

[1]
Eiben, A.E., and Smith, J.E. 2003. Introduction to Evolutionary Computing. Springer.
[2]
Kiraga, J., Mackiewicz, P., Mackiewicz, D., Kowalczuk, M., Biecek, P., Polak, N., Smolarczyk, K., Dudek, M. R., and Cebrat, S. 2007. The relationships between the isoelectric point and: length of proteins, taxonomy and ecology of organisms. BMC Genomics 8, 163.
[3]
Kohonen, T. 2001. Self-Organizing Maps. Springer Verlag, Berlin.
[4]
Sobczyński, M., and Mackiewicz, P. 2011. Application of self-organizing maps to description of relationship between amino acid composition of proteins and ecological properties of microorganisms. Proceedings of the Seventeenth National Conference on Applications of Mathematics in Biology and Medicine. Zakopane-Kościelisko, 1--6.09.2011, 17, 96--101.
[5]
Tekaia, F., Yeramian, E., and Dujon, B. 2002. Amino acid composition of genomes, lifestyles of organisms, and evolutionary trends: a global picture with correspondence analysis. Gene 297, 1--2, 51--60.

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  1. Analysis of relationship between amino acid composition of proteins and environmental features of microorganisms using evolutionary algorithm and self-organizing maps

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            cover image ACM Conferences
            GECCO '13 Companion: Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
            July 2013
            1798 pages
            ISBN:9781450319645
            DOI:10.1145/2464576
            • Editor:
            • Christian Blum,
            • General Chair:
            • Enrique Alba
            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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            New York, NY, United States

            Publication History

            Published: 06 July 2013

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            Author Tags

            1. amino acid composition
            2. evolutionary algorithm
            3. extremophiles
            4. genomics
            5. microbes
            6. protein
            7. proteome
            8. self-organizing maps

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            GECCO '13
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            GECCO '13: Genetic and Evolutionary Computation Conference
            July 6 - 10, 2013
            Amsterdam, The Netherlands

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