Data Processing : How Good Are My Data Really?

Lade...
Vorschaubild
Dateien
Zu diesem Dokument gibt es keine Dateien.
Datum
2013
Autor:innen
Karplus, P. Andrew
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
URI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Sammlungen
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Beitrag zu einem Sammelband
Publikationsstatus
Published
Erschienen in
READ, Randy J., ed., Alexandre G. URZHUMTSEV, ed., Vladimir Y. LUNIN, ed.. Advancing Methods for Biomolecular Crystallography. Dordrecht: Springer Netherlands, 2013, pp. 59-68. ISBN 978-94-007-6319-7. Available under: doi: 10.1007/978-94-007-6232-9_6
Zusammenfassung

Since its inception more than 60 years ago, a “reliability index”, later called “R-value”, has been used to measure the agreement of model and averaged data, and a similar quantity, Rmerge, has been defined to assess the quality of the averaged data. However, a little known fact is that the two kinds of R-values have very different properties and asymptotic behaviors, and cannot be compared with each other. This is the reason that decisions concerning the high-resolution cutoff of data that are based on these R-values are questionable, and also helps explain why disagreements between journal authors and the manuscript reviewers have been so common. Here, the authors will show that a different statistic can be used to overcome these deficiencies, and will establish a direct quantitative relation between data and model quality. This relation is important to judge the extent to which the data are useful, and also gives insight into the quality of the model that is derived from the data. The theoretical and practical consequences are at variance with several commonly employed crystallographic concepts and procedures.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Data quality, Model quality, Resolution, R-value, Rmerge, Rwork, Rfree, Correlation coefficient
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690DIEDERICHS, Kay, P. Andrew KARPLUS, 2013. Data Processing : How Good Are My Data Really?. In: READ, Randy J., ed., Alexandre G. URZHUMTSEV, ed., Vladimir Y. LUNIN, ed.. Advancing Methods for Biomolecular Crystallography. Dordrecht: Springer Netherlands, 2013, pp. 59-68. ISBN 978-94-007-6319-7. Available under: doi: 10.1007/978-94-007-6232-9_6
BibTex
@incollection{Diederichs2013-02-21Proce-38583,
  year={2013},
  doi={10.1007/978-94-007-6232-9_6},
  title={Data Processing : How Good Are My Data Really?},
  isbn={978-94-007-6319-7},
  publisher={Springer Netherlands},
  address={Dordrecht},
  booktitle={Advancing Methods for Biomolecular Crystallography},
  pages={59--68},
  editor={Read, Randy J. and Urzhumtsev, Alexandre G. and Lunin, Vladimir Y.},
  author={Diederichs, Kay and Karplus, P. Andrew}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/38583">
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-24T11:24:12Z</dc:date>
    <dc:creator>Diederichs, Kay</dc:creator>
    <dc:creator>Karplus, P. Andrew</dc:creator>
    <dc:contributor>Karplus, P. Andrew</dc:contributor>
    <dcterms:abstract xml:lang="eng">Since its inception more than 60 years ago, a “reliability index”, later called “R-value”, has been used to measure the agreement of model and averaged data, and a similar quantity, Rmerge, has been defined to assess the quality of the averaged data. However, a little known fact is that the two kinds of R-values have very different properties and asymptotic behaviors, and cannot be compared with each other. This is the reason that decisions concerning the high-resolution cutoff of data that are based on these R-values are questionable, and also helps explain why disagreements between journal authors and the manuscript reviewers have been so common. Here, the authors will show that a different statistic can be used to overcome these deficiencies, and will establish a direct quantitative relation between data and model quality. This relation is important to judge the extent to which the data are useful, and also gives insight into the quality of the model that is derived from the data. The theoretical and practical consequences are at variance with several commonly employed crystallographic concepts and procedures.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Diederichs, Kay</dc:contributor>
    <dcterms:issued>2013-02-21</dcterms:issued>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2017-04-24T11:24:12Z</dcterms:available>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/38583"/>
    <dcterms:title>Data Processing : How Good Are My Data Really?</dcterms:title>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Ja
Begutachtet
Diese Publikation teilen