Poster: Context-sensitive use of bioinformatics tools with complementary functionalities for hypothesis generation

Vida Abedi, Mohammed Yeasin, Ramin Zand

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Bioinformatics tools can be of great help in mining and summarizing voluminous data. However, such tools are usually ineffective in dealing with heterogeneous data and have a limited array of functionalities. Integrated Bioinformatics tools with complementary functionalities (IBTCF) can potentially further knowledge discovery. In this paper, we have used a progressive IBTCF that infer complementary information from the literature, high throughput genomic data and the human curated Gene Ontology classification. Empirical analyses were performed to find an associations between Alzheimer's disease and Tuberculosis, two seemingly disconnected diseases. The origin for this association is believed to be through matrix metalloproteinases (MMP) genes and their mode of action. The integrated system may also further multi-faceted issues in knowledge discovery.

Original languageEnglish (US)
Title of host publication2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479957866
DOIs
StatePublished - Jul 24 2014
Event2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014 - Miami, United States
Duration: Jun 2 2014Jun 4 2014

Publication series

Name2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014

Conference

Conference2014 IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, ICCABS 2014
Country/TerritoryUnited States
CityMiami
Period6/2/146/4/14

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics

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