Conference devoted to the 90th anniversary of Alexei A. Lyapunov

Akademgorodok, Novosibirsk, Russia, October 8-11, 2001,
(state registration number 0320300064)

Abstracts

Information biology

Comparative analysis of recognition methods of potential transcription factor binding sites

Pozdniakov M.A., Vityaev E.E., Podkolodny N.L., Kolchanov N.A.

Institute of Cytology and Genetics SB RAS (Novosibirsk)

Complex method for recognition of transcription factor binding sites was developed based on four methods: (i) weight matrix, (ii) information content, (iii) multidimensional alignment, (iv) pair alignment with most similar representative among known sites. We show that among these methods there is no one optimal for all site groups and recommend optimal recognition method for each group separately. Due to this strategy recognition errors were decreased. The program for rec-ognizing sites in query sequences is available through (http://www.sgi.sscc.ru/mgs/programs/multalig/).

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Note. Abstracts are published in author's edition

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©2001, Siberian Branch of Russian Academy of Science, Novosibirsk
©2001, United Institute of Computer Science SB RAS, Novosibirsk
©2001, Institute of Computational Techologies SB RAS, Novosibirsk
©2001, A.P. Ershov Institute of Informatics Systems SB RAS, Novosibirsk
©2001, Institute of Mathematics SB RAS, Novosibirsk
©2001, Institute of Cytology and Genetics SB RAS, Novosibirsk
©2001, Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Novosibirsk
©2001, Novosibirsk State University
Last modified 06-Jul-2012 (11:45:21)