Workshop on Introduction to Bioinformatics in the Fisheries Sector for High School Muhammadiyah Kupang Students
DOI:
https://doi.org/10.55927/jpmf.v3i3.10339Keywords:
Bioinformatics, Genetics, Students, Biology, TrainingAbstract
One field of science that has been developing rapidly in recent decades is the field of bioinformatics. Advances in the rapidly growing field of information technology make it easier for someone to access and analyze information from several database sources that store biological data throughout the world via websites. Apart from that, the distribution of Bioinformatics Application programs via the internet can now help pupils, students, teachers, lecturers and researchers in solving biological problems by using various database sources and software for various needs, including learning needs. Community service activities in the form of training at SMAS Muhammadiyah Kupang were held on Saturday, May 18 2024. The methods used were presentation of material and training related to bioinformatics as well as pre-tests and post-tests to determine students' abilities.
Downloads
References
Brazas, M. D., Yim, D., Yeung, W., Ouellette, B. F. 2012. A decade of web server updates at the bioinformatics links directory: 2003–2012. Nucleic Acids Res. 40(W1):W3–W12.
Can, T. 2014. Introduction to bioinformatics. In miRNomics: MicroRNA Biology and Computational Analysis (pp. 51-71). Humana Press, Totowa, NJ.
Chen, J., and Coppola, G. 2018. Bioinformatics and genomic databases. Handbook of clinical neurology. Elsevier, Vol. 147: 75-92
Fatchiyah. 2009. Pengantar Bioinformatika Kedokteran. UB. Malang
Higgs, P. G., and Attwood, T. K. 2013. Bioinformatics and molecular evolution. John Wiley & Sons.365 pp
Fernandez-Suarez, X. M., and Galperin, M. Y. 2013. The 2013 nucleic acids research database issue and the online molecular biology database collection. Nucleic Acids Res. 41(D1): D1–7.
Kearse, M., Moir, R., Wilson, A., Stones-Havas, S., Cheung, M., Sturrock, S., ... & Drummond, A. 2012. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics, 28(12), 1647-1649
Li, C. Y., Chen, R. M., Chien, B. C., Hu, R. M., & Tsai, J. J. 2017. Unsupervised clustering of time series gene expression data based on spectrum processing and autoregressive modeling. Computational Methods With Applications In Bioinformatics Analysis. Singapore: World Scientific Publishing Co. Pte. Ltd, 1-21.
Li, M., Chen, Y. B., & Clintworth, W. A. 2013. Expanding roles in a library-based bioinformatics service program: a case study. Journal of the Medical Library Association: JMLA, 101(4), 303.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Suleman, Wesly Pasaribu, Welem Turupadang
This work is licensed under a Creative Commons Attribution 4.0 International License.