Data integration in life sciences
نویسندگان
چکیده
منابع مشابه
A - Posteriori Integration for Life Sciences Data
Multiple datasets that add high value to biomedical research have been exposed on the web as part of the Life Sciences Linked Open Data (LS-LOD) Cloud. The ability to easily navigate through these datasets is crucial in order to draw meaningful biological co relations. However, navigating these multiple datasets is not trivial as most of these are only available as isolated SPARQL endpoints wit...
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This paper concerns the research topic of data integration in the life sciences. The paper presents no technical results, but rather provides a classification of research activities in terms of the contributions they seek to make to the life sciences, bioinformatics or computer science.
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Recent advances in various forms of omics technologies have generated huge amount of data. To fully exploit these data sets that in many cases are publicly available, robust computational methodologies need to be developed to deal with the storage, integration, analysis, visualization, and dissemination of these data. In this paper, we describe some of our research activities in data integratio...
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Ever since the advent of high-throughput biology (e.g., the Human Genome Project), integrating the large number of diverse biological data sets has been considered as one of the most important tasks for advancement in the biological sciences. The life sciences also served as a blueprint for complex integration tasks in the CS community, due to the availability of a large number of highly hetero...
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ژورنال
عنوان ژورنال: it - Information Technology
سال: 2017
ISSN: 1611-2776,2196-7032
DOI: 10.1515/itit-2017-0010