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OJBTM
Online Journal of Bioinformatics©
Volume 10 (1):74-81, 2009.
A
statistical method for verification of rareness in DNA sequences using sequence
encoding.
Meena Ka, Menaka Kb, Sundar
TVd* Subramanian KR c
a Principal and Head, Department of Computer Science, b
Lecturer, Department of I.T. & Applications,. cProfessor,
Department of M.C.A., Shrimati Indira
Gandhi College, Tiruchirapalli – 620 002 and dLecturer(SS),
Postgraduate and Research Department of Physics, National College,
Tiruchirappalli – 620 001, India.
ABSTRACT
Meena
K, Menaka
K, Sundar TV, Subramanian KR., A statistical method
for verification of rareness in DNA sequences using sequence encoding, Online J
Bioinformatics, 10
(1):74-81, 2009. Consensus
sequence among a family of related sequences is the sequence that shows the
characteristics common to most members of the family. Consensus sequences are
important in various DNA sequencing analyses and applications and are a
convenient way in characterizing a family of molecules. Rareness or anomaly
detection followed by in depth analyses in such sequences may reveal
significant information regarding the structural, functional and biochemical
pathways of the genes which are of much importance to biologists. This paper
describes a new method of encoding the DNA sequences for sequence analyses and
subsequent application of a statistical method called Analysis of Variance to
verify the nature of consensus among the family of given related sequences. The
verification for the existence of consensus or rareness is judged based upon
the calculation of the variation within the sequence data and the group of
sequences. For an illustration, some DNA consensus sequences corresponding to
human repetitive elements submitted to Repbase have
been used.
KEY-WORDS:
Rareness detection, Sequence Encoding and Consensus sequence.
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