14 papers · ranked by Valyu relevance
David Gomez-Cabrero, Imad Abugessaisa, Dieter Maier, Andrew Teschendorff + 6 more
'Andrew Teschendorff' 'Matthias Merkenschlager' 'Andreas Gisel' 'Esteban Ballestar' 'Erik Bongcam-Rudloff' 'Ana Conesa' 'Jesper Tegnér'] To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel omics…
Vasileios Lapatas, Michalis Stefanidakis, Rafael C. Jimenez, Allegra Via + 1 more
Data sharing, integration and annotation are essential to ensure the reproducibility of the analysis and interpretation of the experimental findings. Often these activities are perceived as a role that bioinformaticians and computer scientists have to take with no or little input from the experimental biologist. On the…
Nadia Anwar, Ela Hunt
Background This paper summarises the lessons and experiences gained from a case study of the application of semantic web technologies to the integration of data from the bacterial species Francisella tularensis novicida (Fn). Fn data sources are disparate and heterogeneous, as multiple laboratories across the world…
Ralf Bill, Jörg Blankenbach, Martin Breunig, Jan-Henrik Haunert + 10 more
'Christian Heipke' 'Stefan Herle' 'Hans-Gerd Maas' 'Helmut Mayer' 'Liqui Meng' 'Franz Rottensteiner' 'Jochen Schiewe' 'Monika Sester' 'Uwe Sörgel' 'Martin Werner'] Geospatial information science (GI science) is concerned with the development and application of geodetic and information science methods for modeling…
Gunther Eysenbach, Ieuan Clay, Christian Angelopoulos, Anne Lord Bailey + 9 more
Data integration, the processes by which data are aggregated, combined, and made available for use, has been key to the development and growth of many technological solutions. In health care, we are experiencing a revolution in the use of sensors to collect data on patient behaviors and experiences. Yet, the potential…
Ryu Kyung Kim, Young Min Kim, Won Jin Lee, Jongho Im + 4 more
Data integration including statistical matching, and record linkage is the process of merging information from several heterogeneous datasets . Data integration and analysis using linked data have been steadily studied in epidemiology . Data integration has the advantage of enabling users or researchers to implement…
Martin Telefont
Large-scale data gathering efforts of the past, like the Human Genome Project, have shown that their most valuable contribution is data, which allows researchers to link their own experimental findings to them. This process, data integration, will be of central importance in how the scientific community to will be able…
Marcos Barreto, Spiros Denaxas
Background and aims Data integration comprises methods and tools to aggregate data from disparate sources to various purposes. Heterogeneity and uncertainty are technical challenges in this field. The first involves different data representation or meaning, while the second refers to incomplete data or the expectancy…
G Eysenbach, Christian Gulden, Axel Newe, Benjamin Kinast + 3 more
'Hannes Ulrich' 'Björn Bergh' 'Björn Schreiweis'] Background In patient care, data are historically generated and stored in heterogeneous databases that are domain specific and often noninteroperable or isolated. As the amount of health data increases, the number of isolated data silos is also expected to grow…
Ismael Navas-Delgado, Raúl Montañez, Almudena Pino-Ángeles, Aurelio A Moya-García + 3 more
'Aurelio A Moya-García' 'José Luis Urdiales' 'Francisca Sánchez-Jiménez' 'José F Aldana-Montes'] Background Amines are biogenic amino acid derivatives, which play pleiotropic and very important yet complex roles in animal physiology. For many other relevant biomolecules, biochemical and molecular data are being…
Anne E. Thessen, Paul Bogdan, David J. Patterson, Theresa M. Casey + 3 more
'César Hinojo-Hinojo' 'Orlando de Lange' 'Melissa A. Haendel'] Decades of reductionist approaches in biology have achieved spectacular progress, but the proliferation of subdisciplines, each with its own technical and social practices regarding data, impedes the growth of the multidisciplinary and interdisciplinary…
Ivan Merelli, Horacio Pérez-Sánchez, Sandra Gesing, Daniele D'Agostino
"Daniele D'Agostino"] The explosion of the data both in the biomedical research and in the healthcare systems demands urgent solutions. In particular, the research in omics sciences is moving from a hypothesis-driven to a data-driven approach. Healthcare is additionally always asking for a tighter integration with…
Vadim Y. Bichutskiy, Richard Colman, Rainer K. Brachmann, Richard H. Lathrop
'Richard H. Lathrop'] Complex problems in life science research give rise to multidisciplinary collaboration, and hence, to the need for heterogeneous database integration. The tumor suppressor p53 is mutated in close to 50% of human cancers, and a small drug-like molecule with the ability to restore native function to…
Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat + 4 more
'Zakira Inayat' 'Waleed Kamaleldin Mahmoud Ali' 'Muhammad Alam' 'Muhammad Shiraz' 'Abdullah Gani'] Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2…