Danyi K, Kókai G, Csontos J (2006)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2006
Publisher: Springer-verlag
Edited Volumes: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
City/Town: Berlin Heidelberg
Book Volume: LNCS
Pages Range: 23-33
Edition: 3907
Conference Proceedings Title: Applications of Evolutionary Computing
ISBN: 978-3-540-33237-4
DOI: 10.1007/11732242_3
A variety of recent achievements in the field of biology, chemistry and information technology have made possible the development of DNA chips. They allow us to analyze the sequences and functions of different genes simultaneously and detect small differences in those. They are source of tremendous amount of data in the field of Bioinformatics. Moreover, the engineering process of DNA chip requires the latest results of information technology, too. In this paper, we address the mathematical problem of the prediction the hybridization process on the chip surface. A novel in situ in silico approach is presented and the obtained results are discussed. © Springer-Verlag Berlin Heidelberg 2006.
APA:
Danyi, K., Kókai, G., & Csontos, J. (2006). A novel Mathematical Model for the Optimization of DNA-Chip Design and its Implementation. In Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi (Eds.), Applications of Evolutionary Computing (pp. 23-33). Budapest, HU: Berlin Heidelberg: Springer-verlag.
MLA:
Danyi, Kornelia, Gabriella Kókai, and Jozsef Csontos. "A novel Mathematical Model for the Optimization of DNA-Chip Design and its Implementation." Proceedings of the EuroGP2006 & EvoCOP2006, incorporating EvoWorkshops 2006, Budapest Ed. Franz Rothlauf, Jürgen Branke, Stefano Cagnoni, Ernesto Costa, Carlos Cotta, Rolf Drechsler, Evelyne Lutton, Penousal Machado, Jason H. Moore, Juan Romero, George D. Smith, Giovanni Squillero, Hideyuki Takagi, Berlin Heidelberg: Springer-verlag, 2006. 23-33.
BibTeX: Download