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Ontologies for vector borne diseases

This document explores the development and applications of ontologies for vector-borne diseases, notably focusing on the work of Pantelis Topalis and his team at IMBB-FORTH in Crete, Greece. Key ontologies include those for insecticide resistance, malaria, and gene expression annotation. The importance of decision support systems (MDSS, DDSS) and data management tools in analyzing and interpreting vector-borne disease data is highlighted. Future trends include the expansion of these ontologies into broader ecological and agricultural contexts, paving the way for innovative research and applications.

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Ontologies for vector borne diseases

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  1. Ontologies for vector borne diseases Pantelis Topalis Ontology developer IMBB-FORTH, Crete Greece

  2. Ontologies in IMBB Anatomy of mosquitoes (and ticks) Today’s use: almost exclusively for annotation of gene expression experiments (VB). Topalis et al. IMB (2008) 17, 87-89. Insecticide resistance ontology (and IRBase) Today’s use: driving Irbase (VB), partly MDSS (IVCC) Dialynas et al. PLOS NTD (2009) 3(6): e465. Malaria Ontology Today’s use: partly driving MDSS, DDSS Topalis et al. Malaria Journal (2010) 9, 230. RCN: Feb 25-27 2011

  3. Decision Support Systems Data Data Data Program Data Entry Data Data Analysis Display Strategy Collection Storage Retrieval Data Management tool , XHTML files , & Sampling format , SQL data Manage - GIS software , Text files , Methodology schemes Data entry warehouse ment tool Statistical packages , GIS software , screens Modeling Google Earth , Outputs : Charts , Graphs , Maps , Tables FEEDBACK TO Interpretation PROGRAM STRATEGY & ( comparison with local historical data , relation to critical thresholds etc ) METHODOLOGY Management Decisions Decision Support Systems Our computersystems are here WHO State gov. IDOMal D. Puncher RCN: Feb 25-27 2011

  4. PATO IDOMAL GAZ UO Soon to come in VectorBase! IDOMAL IDOMAL VBCV Linking PopGen and ontologies; Phenotypes, IR, transmission and popu- lation/ecology data

  5. Future usage of VB ontologies • TGMA and TADS: To provide basis for cross-products (e.g. descriptions of phenotypes). • MIRO: Expansion into agricultural domain. • IDOMAL: Driving of PopGen and extended PopGen (VB), template for new Vector Borne Disease ontologies, gene annotation.

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