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PELICAN: a PipELIne, including a novel redundancy-eliminating algorithm, to Create and maintain a topicAl family-specific Non-redundant protein database
University of Skövde, School of Humanities and Informatics.
2005 (English)Independent thesis Advanced level (degree of Master (One Year))Student thesis
Abstract [en]

The increasing number of biological databases today requires that users are able to search more efficiently among as well as in individual databases. One of the most widespread problems is redundancy, i.e. the problem of duplicated information in sets of data. This thesis aims at implementing an algorithm that distinguishes from other related attempts by using the genomic positions of sequences, instead of similarity based sequence comparisons, when making a sequence data set non-redundant. In an automatic updating procedure the algorithm drastically increases the possibility to update and to maintain the topicality of a non-redundant database. The procedure creates a biologically sound non-redundant data set with accuracy comparable to other algorithms focusing on making data sets non-redundant

Place, publisher, year, edition, pages
Skövde: Institutionen för kommunikation och information , 2005. , 44 p.
Keyword [en]
redundancy, BLAT, genomic positions, profile hidden Markov models, G-protein coupled receptors
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:his:diva-960OAI: oai:DiVA.org:his-960DiVA: diva2:3385
Presentation
(English)
Uppsok
bio-/geovetenskap
Supervisors
Available from: 2008-03-07 Created: 2008-03-07 Last updated: 2009-05-06Bibliographically approved

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CiteExportLink to record
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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