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Beyond Bioinformatics | |
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Title |
A database for coconut crop improvement
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Authors |
Velamoor Rajagopal*, Ramaswamy Manimekalai, Krishnamurthy Devakumar, Rajesh, Anitha Karun, Vittal Niral, Murali Gopal, Shamina Aziz, Marimuthu Gunasekaran, Mundappurathe Ramesh Kumar and Arumugam Chandrasekar.
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Affiliation |
Central Plantation Crops Research Institute, (ICAR), Kudlu P.O, Kasaragod – 671124. Kerala, India.
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E-mail* |
bioinfcpcri@yahoo.co.uk; * Corresponding author
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Article Type |
Database
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Date |
received August 23, 2005; revised December 7, 2005; accepted December 8, 2005; published online December 8, 2005
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Abstract |
Coconut crop improvement requires a number of biotechnology and bioinformatics tools. A database containing information on CG (coconut germplasm), CCI (coconut cultivar identification), CD (coconut disease), MIFSPC (microbial information systems in plantation crops) and VO (vegetable oils) is described. The database was developed using MySQL and PostgreSQL running in Linux operating system. The database interface is developed in PHP, HTML and JAVA.
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Availability |
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Keywords |
coconut; crop improvement; database; oils; germplasm; plant disease; cultivar
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Citation |
Rajagopal et al., Bioinformation 1(2): 75-77, (2005)
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Edited by |
P. Kangueane
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ISSN |
0973-2063
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Publisher |
Biomedical Informatics Publishing Group
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Copyright |
Publisher
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Copyright Transfer Agreement |
The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.
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License |
This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
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