Statistical analysis of Sequence-Structure Alignment Scores

Brunnert, Marcus; Mevissen, Heinz-Theodor; Thiele, Ralf; Urfer, Wolfgang

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DC Field	Value	Language
dc.contributor.author	Brunnert, Marcus	de
dc.contributor.author	Mevissen, Heinz-Theodor	de
dc.contributor.author	Thiele, Ralf	de
dc.contributor.author	Urfer, Wolfgang	de
dc.date.accessioned	2004-12-06T18:50:11Z	-
dc.date.available	2004-12-06T18:50:11Z	-
dc.date.issued	2002	de
dc.identifier.uri	http://hdl.handle.net/2003/5230	-
dc.identifier.uri	http://dx.doi.org/10.17877/DE290R-15200	-
dc.description.abstract	The structural analysis of proteins is fundamental to the analysis of protein functions. In this context, sequence-structure alignment methods are important among the different empirical methods. In order to assess the quality of sequence-structure alignments, a statistical method using a Bayesian approach proposed by Lathrop et al. (1998) will be presented. Finally, the results of a developed statistical analysis of scores of RDP(recursive dynamic programming)-sequence-structure alignments (Thiele et al., 1999) according to data of six proteins will be described.	en
dc.format.extent	227963 bytes	-
dc.format.extent	86456 bytes	-
dc.format.mimetype	application/pdf	-
dc.format.mimetype	application/postscript	-
dc.language.iso	en	de
dc.publisher	Universitätsbibliothek Dortmund	de
dc.subject	sequence-structure-alignment	en
dc.subject	statistically significant scores	en
dc.subject	combined Bayesian approach and RDP-alignment	en
dc.subject.ddc	310	de
dc.title	Statistical analysis of Sequence-Structure Alignment Scores	en
dc.type	Text	de
dc.type.publicationtype	report	en
dcterms.accessRights	open access	-
Appears in Collections:	Sonderforschungsbereich (SFB) 475

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