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Novel Techniques of Graphical Representation and Analysis of DNA Sequences A Review.

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Title Novel Techniques of Graphical Representation and Analysis of DNA Sequences A Review.
 
Creator Roy, A
Roychoudhury, C
Nandy, A
 
Subject Chemistry
 
Description The advent of automated DNA sequencing techniques has led to an explosive growth in the number and length
of DNAs sequenced from different organisms. While this has resulted in a large accumulation of data in
the DNA databases, it has also called for the development of suitable techniques for rapid viewing and
analysis of the data. Over the last few years several methods have been proposed that address these issues
and represent a DNA sequence in a compact graphical form in one-, two- or three-dimensions that can be
expanded as necessary to help visualize the patterns in gene sequences and aid in in-depth analysis. Graphical
techniques have been round to be useful in highlighting local and global base dominances, to identify regions
of extensive repetitive sequences, differentiate between coding and non-coding regions, and to be indicative
of evolutionary divergences. Analysis with graphical methods have also provided insights into new structures
in DNA sequences such as fractals and long range correlations, and some measures have been developed
that help quantify the visual patterns.
This review presents a comprehensive study of the graphical representation methods and their applications
in viewing and analysing long DNA sequences and evaluates the merits of each of these from a practical
viewpoint with prescriptions on domains of applicability of each method. A discussion on the comparative
merits and demerits of the various methods and possible future developments have also been included.
 
Date 1998
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://www.eprints.iicb.res.in/840/1/JOURNAL_OF_BIOSCIENCES%2C_23(_1)%2C_55%2D71[52].pdf
Roy, A and Roychoudhury, C and Nandy, A (1998) Novel Techniques of Graphical Representation and Analysis of DNA Sequences A Review. Journal of Bioscience, 23 (1). pp. 55-71.
 
Relation http://dx.doi.org/10.1007/BF02728525
http://www.eprints.iicb.res.in/840/