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Development of database support for production of doubled haploids
University of Skövde, Department of Computer Science.
2002 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

In this project relational and Lotus Notes database technology are evaluated with regard to their suitability in providing computer-based support in plant breeding in general and specifically in the production of doubled haploids. The two developed databases are compared based on a set of requirements produced together with the DH-group which is the main users of the databases. The results indicate that both Lotus Notes and the relational databases are able to fulfil all needs documented in this project, although both systems have their limitations. An often expressed opinion is that it is difficult to combine biology and databases. The experience gained in this project however suggests that it does not need to be the case in instances where data is not as complicated as often discussed. Observations made during this project indicate that data warehousing with integrated data mining and OLAP tools are surprisingly similar to how the DH-group at Svalöf Weibull works and could be a suitable solution for the production of doubled haploids.

Place, publisher, year, edition, pages
Skövde: Institutionen för datavetenskap , 2002. , 90 p.
Keyword [en]
Plant breeding, Doubled haploids, Lotus Notes, Relational DBMS
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:his:diva-711OAI: oai:DiVA.org:his-711DiVA: diva2:3112
Presentation
(English)
Uppsok
fysik/kemi/matematik
Supervisors
Available from: 2008-02-04 Created: 2008-02-04 Last updated: 2009-06-10

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf