Abstract
The present chapter discuss the details description about the development of biological databases including the stages involved in creating it. The first part of the chapter introduces the database management system and the data that is kept within. Later, additional information regarding the types of biological database, along with numerous instances of each category is described. Further, the fundamental software elements that are utilized to create databases and the procedures that must be followed during the development process are described. In the later part of the chapter we discuss an advanced searching technique named as TOPSIS, with which users can perform multiple criteria-based searches in the database.
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References
Hansen GW, Hansen JV (1991) Database management and design. Prentice-Hall, Englewood Cliffs, NJ
Pakhira MK (2012) Database management system. PHI Learning Pvt. Ltd
Ghosh Z, Mallick B (2008) Bioinformatics: principles and applications. Oxford University Press. https://india.oup.com/productPage/5591038/7421214/9780195692303
DuBois P (2008) MySQL. Pearson Education
Converse T, Park J et al (2004) PHP5 and MySQL bible, vol 147. Wiley
Odell SG, Lazo GR et al (2017) The art of curation at a biological database: principles and application. Curr Plant Biol 11:2–11. https://doi.org/10.1016/j.cpb.2017.11.001
Birney E, Clamp M (2004) Biological database design and implementation. Brief Bioinform 5(1):31–38. https://doi.org/10.1093/bib/5.1.31
Jato-Espino D, Castillo-Lopez E et al (2014) A review of application of multi-criteria decision making methods in construction. Autom Constr 45:151–162
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Bedi, J., Begam, S., Godara, S. (2024). Development of Biological Databases for Genomic Research. In: Anjoy, P., Kumar, K., Chandra, G., Gaikwad, K. (eds) Genomics Data Analysis for Crop Improvement. Springer Protocols Handbooks. Springer, Singapore. https://doi.org/10.1007/978-981-99-6913-5_12
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DOI: https://doi.org/10.1007/978-981-99-6913-5_12
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-99-6913-5
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