Use of open linked data in bioinformatics space: A case study

2013-01-01
Çelebi, Remzi
GÜMÜŞ, ÖZGÜR
Aydın Son, Yeşim
In the life sciences, semantic web can support many aspects of bio- and health informatics, with exciting applications appearing in areas ranging from plant genetics to drug discovery. Using semantic technologies with open linked data, provides two kinds of advantages: ability to search multiple datasets through a single framework and ability to search relationships and paths of relationships that go across different datasets. The Bio2RDF project creates a network of coherently linked data across the biological databases. As part of the Bio2RDF project, an integrated bioinformatics warehouse on the semantic web is built. In this paper, a use case with a query for multiple distant data sources which are semantically available through Bio2RDF is defined. The validation of the results by traditional search techniques and discussion for future directions is presented. © 2013 IEEE.

Suggestions

An algorithmic approach to analyse genetic networks and biological energy production: an introduction and contribution where OR meets biology
Uğur, Ömür; WEBER, G. -W.; WUENSCHIERS, R. (2009-01-01)
An emerging research area in computational biology and biotechnology is devoted to modelling and prediction of gene-expression patterns. In this article, after a short review of recent achievements we deepen and extend them, especially, by emphasizing and analysing the elegant means of matrix algebra. Based on experimental data, ordinary differential equations with nonlinearities on the right-hand side and a generalized treatment of the absolute shift term, representing the environmental effects, are invest...
Mining microarray data for biologically important gene sets
Korkmaz, Gülberal Kırçiçeği Yoksul; Atalay, Mehmet Volkan; Department of Computer Engineering (2012)
Microarray technology enables researchers to measure the expression levels of thousands of genes simultaneously to understand relationships between genes, extract pathways, and in general understand a diverse amount of biological processes such as diseases and cell cycles. While microarrays provide the great opportunity of revealing information about biological processes, it is a challenging task to mine the huge amount of information contained in the microarray datasets. Generally, since an accurate model ...
A Review on Data Mining and Continuous Optimization Applications in Computational Biology and Medicine
Weber, Gerhard Wilhelm; Ozogur-Akyuz, Sureyya; Kropat, Erik (2009-06-01)
An emerging research area in computational biology and biotechnology is devoted to mathematical modeling and prediction of gene-expression patterns; it nowadays requests mathematics to deeply understand its foundations. This article surveys data mining and machine learning methods for an analysis of complex systems in computational biology, It mathematically deepens recent advances in modeling and prediction by rigorously introducing the environment and aspects of errors and uncertainty into the genetic con...
Synthesis, aqueous solution behavior and layer-bylayer self-assembly of poly(2-alkyl-2-oxazoline)s
Çağlı, Eda; Erel Göktepe, İrem; Department of Chemistry (2019)
Poly(2-alkyl-2-oxazoline)s (PAOXs), are of interest for biomedical applications due to their important biological properties such as nontoxicity and biocompatibility. PAOXs with short-alkyl chains exhibit temperature-responsive behaviour which is advantageous for various biomedical applications. This dissertation focused on synthesis, aqueous solution behaviour, post-functionalization and layer-by-layer (LbL) self-assembly of PAOXs. In addition, it aimed to examine the surface properties of PAOX LbL films a...
Mathematical contributions to dynamics and optimization of gene-environment networks
Weber, Gerhard Wilhelm; Tezel, Aysun; TAYLAN, PAKİZE; Soyler, Alper; Cetin, Mehmet (Informa UK Limited, 2008-01-01)
This article contributes to a further introduction of continuous optimization in the field of computational biology which is one of the most challenging and emerging areas of science, in addition to foundations presented and the state-of-the-art displayed in [C.A. Floudas and P.M. Pardalos, eds., Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches, Kluwer Academic Publishers, Boston, 2000]. Based on a summary of earlier works by the coauthors and their colleagues, it r...
Citation Formats
R. Çelebi, Ö. GÜMÜŞ, and Y. Aydın Son, “Use of open linked data in bioinformatics space: A case study,” 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69789.