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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
Högskolan i Skövde, Institutionen för kommunikation och information.
2005 (engelsk)Independent thesis Advanced level (degree of Master (One Year))Oppgave
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

sted, utgiver, år, opplag, sider
Skövde: Institutionen för kommunikation och information , 2005. , s. 44
Emneord [en]
redundancy, BLAT, genomic positions, profile hidden Markov models, G-protein coupled receptors
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-960OAI: oai:DiVA.org:his-960DiVA, id: diva2:3385
Presentation
(engelsk)
Uppsök
bio-/geovetenskap
Veileder
Tilgjengelig fra: 2008-03-07 Laget: 2008-03-07 Sist oppdatert: 2009-05-06bibliografisk kontrollert

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