Abstract | ||
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It has been argued before that Prolog is a strong candidate for research and code development in bioinformatics and computational biology. This position has been based on both the intrinsic strengths of Prolog and recent advances in its technologies. Here we strengthen the case for the deployment and penetration of Prolog into bioinformatics, by introducing bio db, a comprehensive and extensible system for working with biological data. We focus on databases that translate between biological products and product-to-product interactions, the latter of which can be visualised as graphs. This library allows easy access to high quality data in two formats: as Prolog fact les and as SQLite databases. On-demand downloading of prepacked data les in these two formats is supported in all operating system architectures as well as reconstruction from latest data les from the curated databases. The methods used to deliver the data are transparent to the user and the data are delivered in he familiar format of Prolog facts. |
Year | Venue | Field |
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2015 | ICLP (Technical Communications) | Graph,Biological data,Logical approach,Software deployment,Programming language,Computer science,Upload,Biological database,Prolog,Code development |
DocType | Citations | PageRank |
Conference | 1 | 0.37 |
References | Authors | |
3 | 2 |
Name | Order | Citations | PageRank |
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Nicos Angelopoulos | 1 | 53 | 11.48 |
Georgios Giamas | 2 | 1 | 1.05 |