Information Technology Infrastructure for Agriculture Genotyping Studies

Bens Pardamean, James W. Baurley, Anzaludin S. Perbangsa, Dwinita Utami, Habib Rijzaani and Dani Satyawan
Volume: 14, No: 3, Page: 655 ~ 665, Year: 2018
10.3745/JIPS.01.0029
Keywords: Agriculture Biotechnology, Big Data, Genotyping, Infrastructure, IT
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Abstract
In efforts to increase its agricultural productivity, the Indonesian Center for Agricultural Biotechnology and Genetic Resources Research and Development has conducted a variety of genomic studies using highthroughput DNA genotyping and sequencing. The large quantity of data (big data) produced by these biotechnologies require high performance data management system to store, backup, and secure data. Additionally, these genetic studies are computationally demanding, requiring high performance processors and memory for data processing and analysis. Reliable network connectivity with large bandwidth to transfer data is essential as well as database applications and statistical tools that include cleaning, quality control, querying based on specific criteria, and exporting to various formats that are important for generating high yield varieties of crops and improving future agricultural strategies. This manuscript presents a reliable, secure, and scalable information technology infrastructure tailored to Indonesian agriculture genotyping studies.

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Cite this article
IEEE Style
Bens Pardamean, James W. Baurley, Anzaludin S. Perbangsa, Dwinita Utami, Habib Rijzaani, and Dani Satyawan, "Information Technology Infrastructure for Agriculture Genotyping Studies," Journal of Information Processing Systems, vol. 14, no. 3, pp. 655~665, 2018. DOI: 10.3745/JIPS.01.0029.

ACM Style
Bens Pardamean, James W. Baurley, Anzaludin S. Perbangsa, Dwinita Utami, Habib Rijzaani, and Dani Satyawan, "Information Technology Infrastructure for Agriculture Genotyping Studies," Journal of Information Processing Systems, 14, 3, (2018), 655~665. DOI: 10.3745/JIPS.01.0029.