Information Technology Infrastructure for Agriculture Genotyping Studies

被引：3

作者：

Pardamean, Bens ^{[1
]}

Baurley, James W. ^{[1
]}

Perbangsa, Anzaludin S. ^{[1
]}

Utami, Dwinita ^{[2
]}

Rijzaani, Habib ^{[2
]}

Satyawan, Dani ^{[2
]}

机构：

[1] Bina Nusantara Univ, Bioinformat & Data Sci Res Ctr, Jakarta, Indonesia

[2] Indonesian Ctr Agr Biotechnol & Genet Resources R, Bogor, Indonesia

来源：

JOURNAL OF INFORMATION PROCESSING SYSTEMS | 2018年 / 14卷 / 03期

关键词：

Agriculture Biotechnology; Big Data; Genotyping; Infrastructure; IT;

D O I：

10.3745/JIPS.01.0029

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 high-throughput 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.

引用

页码：655 / 665

页数：11

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