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Advanced SPARQL querying in small molecule databases

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F16%3A00461690" target="_blank" >RIV/61388963:_____/16:00461690 - isvavai.cz</a>

  • Result on the web

    <a href="http://jcheminf.springeropen.com/articles/10.1186/s13321-016-0144-4" target="_blank" >http://jcheminf.springeropen.com/articles/10.1186/s13321-016-0144-4</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s13321-016-0144-4" target="_blank" >10.1186/s13321-016-0144-4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Advanced SPARQL querying in small molecule databases

  • Original language description

    In recent years, the Resource Description Framework (RDF) and the SPARQL query language have become more widely used in the area of cheminformatics and bioinformatics databases. These technologies allow better interoperability of various data sources and powerful searching facilities. However, we identified several deficiencies that make usage of such RDF databases restrictive or challenging for common users. We extended a SPARQL engine to be able to use special procedures inside SPARQL queries. This allows the user to work with data that cannot be simply precomputed and thus cannot be directly stored in the database. We designed an algorithm that checks a query against data ontology to identify possible user errors. This greatly improves query debugging. We also introduced an approach to visualize retrieved data in a user-friendly way, based on templates describing visualizations of resource classes. To integrate all of our approaches, we developed a simple web application. Our system was implemented successfully, and we demonstrated its usability on the ChEBI database transformed into RDF form. To demonstrate procedure call functions, we employed compound similarity searching based on OrChem. The application is publicly available at https://bioinfo.uochb.cas.cz/projects/chemRDF.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    CF - Physical chemistry and theoretical chemistry

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2015047" target="_blank" >LM2015047: Czech National Infrastructure for Biological Data</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Cheminformatics

  • ISSN

    1758-2946

  • e-ISSN

  • Volume of the periodical

    8

  • Issue of the periodical within the volume

    Jun 6

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    14

  • Pages from-to

  • UT code for WoS article

    000377064900001

  • EID of the result in the Scopus database

    2-s2.0-84973379995