Chaimaa Messaoudi

Abdelmalek Essaâdi University | UAE

With the advance of high-throughput technologies, biological data sources are growing at an exponential rate. Data integration systems that combine data from heterogeneous sources help biologists to investigate the outcomes of their experiments. However, the heterogeneity of the different data sources, at the syntactic, schema, and semantic level,...

With the constant rise of data volumes in many disciplines, various new Big data management systems have emerged to provide scalable tools for efficient data integration, processing, and analysis. In this article, we provide an overview of biomedical data integration systems focusing on ontology‐based semantic systems and Big data technologies base...

Proteomic patterns can help the diagnosis of the underlying pathological state of an organ such as the ovary, the lung, and the breast, to name few. An accurate classification of mass spectrometry is a crucial point to establish a reliable diagnosis and decision process regarding a type of cancer. A statistical methodology for classifying mass spec...

NoSQL databases have recently been introduced as alternatives to traditional relational database management systems because of their capabilities in terms of storing data and query retrieval. Biological datasets can be modelled using various models, for example, graphs (protein-protein interaction) or documents (protein sequence information). Appli...

NoSQL databases have recently been introduced as alternatives to traditional relational database management systems because of their capabilities in terms of storing data and query retrieval. Biological datasets can be modelled using various models, for example, graphs (protein-protein interaction) or documents (protein sequence information). Appli...

NoSQL data stores can serve as alternative to traditional relational database systems, particularly for handling big data biomedical applications. Applications that model their data using two or more simple NoSQL models are known as applications with polyglot persistence. Recently, a new family of multi-model data stores was introduced, integrating...

Technological advances of computer science and data analysis are helping to provide continuously huge volumes of biological data, which are available on the web. Such advances involve and require powerful techniques for data integration to extract pertinent knowledge and information for a specific question. Biomedical exploration of these big data...