Development of a Local Entomological Database for Education and Research using Simulation (Virtual) Methods
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 3
Abstract
Bioinformatics has been regarded as one of the rapidly-evolving fields with enormous impact on the history of life and biomedical sciences. It is an interdisciplinary science that integrates life sciences, mathematics and computer science in order to extract meaningful biological insights from large data sets of raw DNA and protein sequences. Our objective was the development of an entomogenomics database (provisionally named EntomDB) for education and research in entomology (entomology is the science of insects). This DB includes DNA/protein sequence data selected from genomes of major insect models of importance in biology and biomedical research. EntomDB will represent a customized easy, interactive and self-learning resource tool for beginner users in poor-resource settings. This will enable the users to learn basic skills in bioinformatics and genomics, needlessly to search through the numerous databases currently available on the World-Wide Web with their complex interfaces and contents. EntomDB will help students and young researchers in studying the primary structure, splicing, and translation and predict function of different genes by using simple simulation methods. It is also designed to be adaptable to work off-line, in case no internet connection is available. EntomDB is primarily designed for entomology discipline; however, it can easily be adapted for other disciplines in life and biomedical sciences. EntomDB will have important educational and developmental outcomes in promoting bioinformatics learning in the developing world and provide affordable first-level training for advanced degree and research levels.
Authors and Affiliations
Emad Khater, Mona Mahmoud, Enas Ghallab, Magdi Shehata, Yasser El-Latif
Keywords
Related Articles
- EP ID EP115789
- DOI 10.14569/IJACSA.2014.050318
- Views 84
- Downloads 0
Applicability of Data Mining Technique Using Bayesians Network in Diagnosis of Genetic Diseases
This study aims to identify a methodology to aid in the identification of diagnosis for chromosomal abnormalities and genetic diseases, presenting as a tutorial model the Turner Syndrome. So, it has been used classificat...
The result oriented process for students based on distributed datamining
The student result oriented learning process evaluation system is an essential tool and approach for monitoring and controlling the quality of learning process. From the perspective of data analysis, this pap...
Ontology Learning from Relational Databases: Transforming Recursive Relationships to OWL2 Components
Relational databases (RDB) are widely used as a backend for information systems, and contain interesting structured data (schema and data). In the case of ontology learning, RDB can be used as knowledge source. Multiple...
Pattern Discovery using Fuzzy FP-growth Algorithm from Gene Expression Data
The goal of microarray experiments is to identify genes that are differentially transcribed with respect to different biological conditions of cell cultures and samples. Hence, method of data analysis needs to be c...
Educational Data Mining Model Using Rattle
Data Mining is the extraction of knowledge from the large databases. Data Mining had affected all the fields from combating terror attacks to the human genome databases. For different data analysis, R programming has a k...