A Review: Genetics Algorithms in Bioinformatics Tools

Authors

  • Bafreen Najeb Mohammed Zakho Technical Institute Information Technology (IT), Duhok Polytechnic University, Duhok, KRG – Iraq

DOI:

https://doi.org/10.46291/ICONTECHvol5iss1pp16-25

Keywords:

Genomes

Abstract

Bioinformaticians study biological questions by analyzing molecular data with various programs and tools. Today, bioinformatics is used in large number of fields such as microbial genome applications, biotechnology, waste cleanup, Gene therapy, fingerprint and eye detection. The field of bioinformatics, is one of the most prominent areas that our need is increasing, and the demand for it is increasing day by day. Where dealing with this vital and biological information using advanced computer technologies to generate useful information and new discoveries. For this reason, vital bioinformatics is one of the domains that combines both interested and programming at the same time. It provides you with resources for self-learning, the most important information in the field of vital information, and asked questions of those wishing to learn this field. The term bioinformatics was first used in 1968 by Margret Dayhoff, which is a pioneer in this field, but its definition appeared for the first time in 1978. This science arose and developed in conjunction with the emergence and development of computers. It is also referred to as "computational biology."

References

Baxevanis, A. D., Bader, G. D., & Wishart, D. S. (Eds.). (2020). Bioinformatics. John Wiley & Sons.

Lesk, A. (2019). Introduction to bioinformatics. Oxford university press.

Mochida, K., & Shinozaki, K. (2010). Genomics and bioinformatics resources for crop improvement. Plant and Cell Physiology, 51(4), 497-523.

Smith, T. F. (1998). Functional genomics—bioinformatics is ready for the challenge. Trends in genetics, 14(7), 291-293.

Ning, L., Liu, G., Li, G., Hou, Y., Tong, Y., & He, J. (2014). Current challenges in the bioinformatics of single cell genomics. Frontiers in oncology, 4, 7.

Saeys, Y., Inza, I., & Larrañaga, P. (2007). A review of feature selection techniques in bioinformatics. bioinformatics, 23(19), 2507-2517.

Yang, P., Hwa Yang, Y., B Zhou, B., & Y Zomaya, A. (2010). A review of ensemble methods in bioinformatics. Current Bioinformatics, 5(4), 296-308.

Diniz, W., & Canduri, F. (2017). Bioinformatics: an overview and its applications. Genet Mol Res, 16(1).

Counsell, D. (2003). A review of bioinformatics education in the UK. Briefings in Bioinformatics, 4(1), 7-21.

Min, S., Lee, B., & Yoon, S. (2017). Deep learning in bioinformatics. Briefings in bioinformatics, 18(5), 851-869.

Fourment, M., & Gillings, M. R. (2008). A comparison of common programming languages used in bioinformatics. BMC bioinformatics, 9(1), 82.

Goujon, M., McWilliam, H., Li, W., Valentin, F., Squizzato, S., Paern, J., & Lopez, R. (2010). A new bioinformatics analysis tools framework at EMBL–EBI. Nucleic acids research, 38(suppl_2), W695-W699.

Wahab, A., Chin, S. H., & Tan, E. C. (1998). Novel approach to automated fingerprint recognition. IEE Proceedings-Vision, Image and Signal Processing, 145(3), 160-166.

D'Orazio, T., Leo, M., Cicirelli, G., & Distante, A. (2004, August). An algorithm for real time eye detection in face images. In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. (Vol. 3, pp. 278-281). IEEE.

Asaad, R. R., & Ali, R. I. (2019). Back Propagation Neural Network (BPNN) and sigmoid activation function in multi-layer networks. Academic Journal of Nawroz University, 8(4), 216-221.

Published

2021-03-28

How to Cite

Najeb Mohammed, B. (2021). A Review: Genetics Algorithms in Bioinformatics Tools. ICONTECH INTERNATIONAL JOURNAL, 5(1), 16-25. https://doi.org/10.46291/ICONTECHvol5iss1pp16-25

Issue

Section

Articles