Use of Display File Structure and Operation Code for DNA Sequence to Visualise and Presentation for Dot Matrix Graph for DNA Sequence Alignment


  • Gujarat Vidyapith, Department of Computer Science, Ahmedabad, India


The management and analysis of bio information using computer application is study that related with the use of computing facility for collection, visualization, analysis and presentation of bio information. The DNA sequence achieving in lab is stored in the computer files like as ordinary text files. This file includes information about the sequences. This sequence alignment is comparison and finding relatedness of two sequences using dot matrix graphical method. Display file structure and operation code assigned to nucleic acid used for generating this graph and this will make computing faster. So goal of this concept is used to made visualisation and presentation faster as compared to traditional method. The similarities in graph of two sequences represent that the two sequences must have derived from a common ancestor and evolutionary origin.


ASCII, Display File, DNA Sequence, Operands, Operation Code, Sequence Alignment.

Subject Discipline

Software Engineering

Full Text:


Attwood TK, Smith DP. Introduction to Bioinformatics. 1st ed. Pearson Education; 2001.

Gibas C, Jambeck P Developing Bioinformatics Computer Skills. 1st ed. O'Relly and Associates; 2001.

Higgins D, Taylor W Bioinformatics - Sequence, Structure and Databanks. 2nd ed. Oxford University Press; 2003.

Hearn D, Baker P Computer Graphics. 2nd ed. Prentice Hall; 2000.

Harrington S. Computer Graphics - A Programming Approach. 2nd ed. McGraw Hill Book Company; 1987.

Tisdall J. Beginning Perl for Bioinformatics. 1st ed. O’Relly and Associates; 2001.

Nair AS, Sunitha P, Aswathi BL. Bioinspired Computing- the Evolving Scenario. CSI. 2011; 35(9):6-8.

Govindan G, Goli B, WEKA - A powerful free software for implementing Bio - inspired Algorithms. CSI. 2011; 35(9):9-11.

Tripathi KK. Bioinformatics: The Foundation of Present and Future Biotechnology. Current Science. 2000; 79(5).

Evolutionary Genetic Analysis and Sequence Alignment. Briefings in Bioinformatics. 2004; 5(2):150-63.

Mukhopadhyay A, Chattopadhyay A. Computer Graphics and Multimedia. 2nd ed. 2007.

Anderson G. Bioinformatics Tutorial rev. 9-2012. Cellular and Molecular Biology. 2012; 1-10.

Newman W, Sproull R. Principles of Interactive Computer Graphics. 2nd ed. New Yorl: McGraw-Hill; 1979.

Pavlidis T. Algorithms for Graphics and Image Processing. Rockville, Md: Computer Science Press; 1982.

Rogers DF, Adams JA. Mathematical Elements for Computer Graphics. New York: McGraw-Hill; 1976.

Scott JE. Introduction to Interactive Computer Graphics. New York: Wiley Interscience; 1982.

Sherr S. Vide and Digital Electronics Displays: A user’s Guide. NJ: Wiley, Somerset; 1982.


  • There are currently no refbacks.