Engineering

Volume 5, Issue 10 (October 2013)

ISSN Print: 1947-3931   ISSN Online: 1947-394X

Google-based Impact Factor: 0.66  Citations  

Visual Composition of Complex Queries on an Integrative Genomic and Proteomic Data Warehouse

HTML  Download Download as PDF (Size: 266KB)  PP. 94-98  
DOI: 10.4236/eng.2013.510B019    2,256 Downloads   3,595 Views  Citations

ABSTRACT

Biomedical questions are usually complex and regard several different life science aspects. Numerous valuable and he- terogeneous data are increasingly available to answer such questions. Yet, they are dispersedly stored and difficult to be queried comprehensively. We created a Genomic and Proteomic Data Warehouse (GPDW) that integrates data provided by some of the main bioinformatics databases. It adopts a modular integrated data schema and several metadata to describe the integrated data, their sources and their location in the GPDW. Here, we present the Web application that we developed to enable any user to easily compose queries, although complex, on all data integrated in the GPDW. It is publicly available at http://www.bioinformatics.dei.polimi.it/GPKB/. Through a visual interface, the user is only required to select the types of data to be included in the query and the conditions on their values to be retrieved. Then, the Web application leverages the metadata and modular schema of the GPDW to automatically compose an efficient SQL query, run it on the GPDW and show the extracted requested data, enriched with links to external data sources. Performed tests demonstrated efficiency and usability of the developed Web application, and showed its and GPDW relevance in supporting answering biomedical questions, also difficult.

Share and Cite:

Pessina, F. , Masseroli, M. and Canakoglu, A. (2013) Visual Composition of Complex Queries on an Integrative Genomic and Proteomic Data Warehouse. Engineering, 5, 94-98. doi: 10.4236/eng.2013.510B019.

Cited by

[1] Interface for Composing Queries That Include Subqueries for Complex Databases
2021
[2] Data visualization and data fusion on the visual performance of illustration
2020
[3] Novelty Indicator for Enhanced Prioritization of Predicted Gene Ontology Annotations
2018
[4] Interfaz de composición de consultas a base de datos que permita incluir subconsultas
2016
[5] Integration and Querying of Genomic and Proteomic Semantic Annotations for Biomedical Knowledge Extraction
2015
[6] Ontology-Based Prediction and Prioritization of Gene Function Annotations
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015
[7] Computational algorithms to predict Gene Ontology annotations
2015
[8] Computational Prediction of Gene Functions through Machine Learning methods and Multiple Validation Procedures
2014
[9] Weighting Scheme Methods for Enhanced Genomic Annotation Prediction
Computational Intelligence Methods for Bioinformatics and Biostatistics. Springer International Publishing,, 2014
[10] Software Suite for Gene and Protein Annotation Prediction and Similarity Search
2014
[11] Deep autoencoder neural networks for gene ontology annotation predictions
Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2014
[12] Integrative warehousing of biomolecular information to support complex multi-topic queries for biomedical knowledge discovery
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on. IEEE, 2013., 2013

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.