Pathways in Bioinformatics: A Window in Computer Science

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-49 Number-2
Year of Publication : 2017
Authors : C. P. E. Agbachi


C. P. E. Agbachi "Pathways in Bioinformatics: A Window in Computer Science". International Journal of Computer Trends and Technology (IJCTT) V49(2):83-90, July 2017. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Bioinformatics is an emerging field galvanized by intense research in computational and molecular biology. It continues to grow with vast potential for the present and future. As a result, the role of computer science in driving research and results forward remains crucial. Yet this field is barely understood. It is not in the standard domain of course curriculum in many institutions, even at post graduate level. This paper looks at Bioinformatics from the perspectives of Computer Science. In the process, provides entry point and pathways for more active and productive participation.

[1] Informatics,The University of Edinburgh, ―What is Informatics,
[2] Bruno Gaeta, ―BioInformatics - What and Why, © Copyright eBioInformatics Pty Ltd.
[3] Mark Gerstein, ―BioInformatics - Intoduction‖, Yale University,
[4] Himanshu Singh, ―Bioinformatics: Benefits to Mankind, International Journal of PharmTech Research, 2016,Vol9 No 4,pp 242-248.
[5] Oliver Brandenberg et al, ―Introduction to Molecular Biology and Genetic Engineering, FAO of the United Nations, Rome, 2011.
[6] SamarjitChakraborty, ―Formal Languages and Automata Theory, Computer Engineering and Networks Laboratory, Swiss Federal Institute of Technology (ETH), Zurich, 2003.
[7] Jeffrey Shallit, ―A Second Course in Formal Languages and Automata Theory, © Cambridge University Press.
[8] Genetics Home Reference, ―Guide to Understanding Genetic Conditions, US National Library of Medicine,
[9] OrogunKehindeGbemisola, ―Bioinformatics: Concepts, Design and Methodology (A Case Study of DNA Sequencing), Bachelor’s Thesis, Kogi State University, Anyigba, Nigeria, 2015.
[10] Dennis A. Benson et al, ―GenBank‖, Nucleic Acids Research, 1998, Vol. 26, No. 1, © 1998 Oxford University Press.
[11] Introduction to Molecular Genetics and Genomics,
[12] Dan Lopresti, ―Introduction to Bioinformatics―,Computer Science & Engineering, Lehigh University, BioS, 2010.
[13] Neil C. Jones, Pavel A. Pevzner, ―An Introduction to Bioinformatics Algorithms―,© 2004 Massachusetts Institute of Technology.
[14] C. P. E. Agbachi, ―Design and Application of Concurrent Double Key Survey Data Structures, IJCTT, Volume 36 Number 3 - June 2016.
[15] David R. Musser and Brian Osman, ―Sequence Algorithm Concepts ―,
[16] J. Christopher Bare, ―The Evolution of Sequence Comparison Algorithms―, University of Washington.
[17] Dominique Lavenier, ―Ordered Index Seed Algorithm for Intensive DNA Sequence Comparison―,IRISA / CNRS Campus de Beaulieu 35042 Rennes.
[18] Philip Hingston, ―Using Finite State Automata for Sequence Minining, School of Computer and Information Science, Edith Cowan University, Mt Lawley, WA 6050.
[19] HasanIbneAkram, Grammatical Inference‖,TechnischeUniversitätMünchen, 14 January, 2010.
[20] Asmi Shah, ―DNA Sequence Representation by Use of Statistical Finite Automata―,Master's Projects. Paper 40, San Jose State University, 2009.
[21] Rafael C. Carrasco, Jose Oncina, ―Learning Stochastic Regular Grammars by Means of a State Merging Method―,Departamento de TecnologiaInformatica y Computaci6n Universidad de Alicante, E-03071 Alicante.
[22] André Y. Kashiwabara and Alan M. Durham, ―Biological Signal Prediction Using Stochastic Regular Grammars, Departamento de Ciência da Computação (IME), Universidade de Sao Paulo.
[23] F. Psomopoulos, S. Diplaris, P. A. Mitkas, ―A Finite State Automata Based Technique for Protein Classification Rules Induction, Proceedings of the Second European Conference on Data Mining and Text Mining in Bioinformatics, Pisa, Italy. 24. September, 2004.

Genes, DNA, Sequence,Automata,PTA, SFA, ALERGIA.