Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-20358
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sima, Ana-Claudia | - |
dc.contributor.author | Dessimoz, Christophe | - |
dc.contributor.author | Stockinger, Kurt | - |
dc.contributor.author | Zahn-Zabal, Monique | - |
dc.contributor.author | Mendes de Farias, Tarcisio | - |
dc.date.accessioned | 2020-08-17T08:37:52Z | - |
dc.date.available | 2020-08-17T08:37:52Z | - |
dc.date.issued | 2020-08 | - |
dc.identifier.issn | 2046-1402 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/20358 | - |
dc.description.abstract | The increasing use of Semantic Web technologies in the life sciences, in particular the use of the Resource Description Framework (RDF) and the RDF query language SPARQL, opens the path for novel integrative analyses, combining information from multiple data sources. However, analyzing evolutionary data in RDF is not trivial, due to the steep learning curve required to understand both the data models adopted by different RDF data sources, as well as the equivalent SPARQL constructs required to benefit from this data - in particular, recursive property paths. In this article, we provide a hands-on introduction to querying evolutionary data across several data sources that publish orthology information in RDF, namely: The Orthologous MAtrix (OMA), the European Bioinformatics Institute (EBI) RDF platform, the Database of Orthologous Groups (OrthoDB) and the Microbial Genome Database (MBGD). We present four protocols in increasing order of complexity. In these protocols, we demonstrate through SPARQL queries how to retrieve pairwise orthologs, homologous groups, and hierarchical orthologous groups. Finally, we show how orthology information in different data sources can be compared, through the use of federated SPARQL queries. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Faculty of 1000 | de_CH |
dc.relation.ispartof | F1000Research | de_CH |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | de_CH |
dc.subject | Comparative Genomics | de_CH |
dc.subject | Orthology | de_CH |
dc.subject | Resource Description Framework (RDF) | de_CH |
dc.subject | SPARQL | de_CH |
dc.subject | Sequence Homology | de_CH |
dc.subject.ddc | 005: Computerprogrammierung, Programme und Daten | de_CH |
dc.title | A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL | de_CH |
dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
dc.identifier.doi | 10.12688/f1000research.21027.2 | de_CH |
dc.identifier.doi | 10.21256/zhaw-20358 | - |
dc.identifier.pmid | 32612807 | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.originated.zhaw | Yes | de_CH |
zhaw.pages.start | 1822 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.volume | 8 | de_CH |
zhaw.publication.review | Open peer review | de_CH |
zhaw.funding.snf | 167149 | de_CH |
zhaw.webfeed | Datalab | de_CH |
zhaw.webfeed | Information Engineering | de_CH |
zhaw.webfeed | ZHAW digital | de_CH |
zhaw.funding.zhaw | SNF NRP 75 "Big Data": Bio-SODA - Enabling Complex, Semantic Queries to Bioinformatics Databases through Intuitive Searching over Data | de_CH |
zhaw.author.additional | No | de_CH |
zhaw.display.portrait | Yes | de_CH |
Appears in collections: | Publikationen School of Engineering |
Files in This Item:
File | Description | Size | Format | |
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2020_Sima_A_hands-on_introduction_to_querying_evolutionary_relationships_F1000Research.pdf | 1.1 MB | Adobe PDF | View/Open |
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Sima, A.-C., Dessimoz, C., Stockinger, K., Zahn-Zabal, M., & Mendes de Farias, T. (2020). A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL. F1000Research, 8, 1822. https://doi.org/10.12688/f1000research.21027.2
Sima, A.-C. et al. (2020) ‘A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL’, F1000Research, 8, p. 1822. Available at: https://doi.org/10.12688/f1000research.21027.2.
A.-C. Sima, C. Dessimoz, K. Stockinger, M. Zahn-Zabal, and T. Mendes de Farias, “A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL,” F1000Research, vol. 8, p. 1822, Aug. 2020, doi: 10.12688/f1000research.21027.2.
SIMA, Ana-Claudia, Christophe DESSIMOZ, Kurt STOCKINGER, Monique ZAHN-ZABAL und Tarcisio MENDES DE FARIAS, 2020. A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL. F1000Research. August 2020. Bd. 8, S. 1822. DOI 10.12688/f1000research.21027.2
Sima, Ana-Claudia, Christophe Dessimoz, Kurt Stockinger, Monique Zahn-Zabal, and Tarcisio Mendes de Farias. 2020. “A Hands-on Introduction to Querying Evolutionary Relationships across Multiple Data Sources Using SPARQL.” F1000Research 8 (August): 1822. https://doi.org/10.12688/f1000research.21027.2.
Sima, Ana-Claudia, et al. “A Hands-on Introduction to Querying Evolutionary Relationships across Multiple Data Sources Using SPARQL.” F1000Research, vol. 8, Aug. 2020, p. 1822, https://doi.org/10.12688/f1000research.21027.2.
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