Full metadata record
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 |
Files in This Item:
File | Description | Size | Format | |
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38_02.pdf | DNB | 84.43 kB | Adobe PDF | View/Open |
tr38-02.ps | 222.62 kB | Postscript | View/Open |
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