DocumentCode :
554092
Title :
Notice of Retraction
Research on the Palindromic sequences among tRNA sequences
Author :
Yuanze Mao ; Fangping Wei ; Jijian Xie
Author_Institution :
Coll. of Phys. Sci. & Technol., Guangxi Univ., Nanning, China
Volume :
3
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
1552
Lastpage :
1555
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Based on all the tRNA sequences with high similarity in their functions and structures, 3420 tRNA sequences are put as a whole in this paper, and then the palindromic sequences of different length within all the tRNA sequences are counted. We observed that: (I) the probability of one given palindromic sequence P(i) with the given palindromic sequence i follows a power-law distribution when the length of the palindromic sequences is between five and fifteen bases, and in this case, the total number N(n) of palindromic sequences which occur n times with the occurrences n follows a power-law distribution too; (II) the repeated palindromic sequences are found nearly at the same site in the different tRNA sequences as their length is longer than five bases; In addition, the longer palindromic sequences are always discovered in the center or both sides of some stem-loops of tRNA sequences; (III) the palindromic sequences of absolute AT/GC content almost decrease with the increase of the length of palindromic sequences K, and the palindromic sequences of absolute AT content are always more than the GC content for a same K value. By the analysis of the palindromic sequences among all the tRNA sequences, the structure and evolution process of tRNA sequences are also discussed in this paper.
Keywords :
biology; macromolecules; palindromic sequences; power-law distribution; ribonucleic acid; tRNA sequences; Amino acids; Bioinformatics; Data models; Educational institutions; Equations; Genomics; Mathematical model; Power-law distribution; anticodon; palindromic sequence; tRNA sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022272
Filename :
6022272
Link To Document :
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