Data integration in the era of omics: current and future challenges

Gomez-Cabrero, David; Abugessaisa, Imad; Maier, Dieter; Teschendorff, Andrew E.; Merkenschlager, Matthias; Gisel, Andreas; Ballestar, Esteban; Bongcam‐Rudloff, Erik; Conesa, Ana; Tegnér, Jesper

doi:10.1186/1752-0509-8-s2-i1

Cited by 324 publications

(217 citation statements)

References 63 publications

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“…With the progress of biomedical science and bioengineering, we now enter the era of 'nano' and 'omics' sciences (6)(7)(8). 'Nano' sciences or nanotechnology, referes to the manipulation of matter with at least one dimension sized from 1 to 100 nanometers.…”

Section: French Sciences Publishing Groupmentioning

confidence: 99%

The era of nanotechnology and omics sciences

Li¹

2017

Eur J Bio Med Res

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Section: French Sciences Publishing Groupmentioning

confidence: 99%

The era of nanotechnology and omics sciences

Li¹

2017

Eur J Bio Med Res

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“…Besides, biomedical big data have the characteristics of being all-round, multi-dimensional, dynamic and of high content. Even for a single individual, various levels of omics data and clinical/medical records could be used to decipher the biological system at different levels [7].…”

Section: Scientific Significance Of Biomedical Big Datamentioning

confidence: 99%

Strategic planning for national biomedical big data infrastructure in China

Wang

Zefeng

2017

Quant. Biol.

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The promise that big data will revolutionize scientific discovery and technology innovation is now being widely recognized. With the explosive growth of biomedical data, life science is being transformed into a digital science in which novel insights are gained from in-depth data analysis and modeling. Extensive and innovative utilization of biomedical big data is a key to the success of precision medicine. Therefore, constructing a centralized national-level biomedical big data infrastructure becomes crucial and urgent for China. Such infrastructure should achieve superb capacity of safe data storage, standardized data processing and quality control, systematic data integration across multiple types, and in-depth data mining and effective data sharing. Full data chain service including information retrieval, knowledge discovery and technology support can be provided to data centers, research institutes and healthcare industries. Relying on Shanghai Institutes for Biological Sciences, agreements have been signed that a main node of the infrastructure will be located in Shanghai, and a backup node will be set up in Guizhou Province. After a construction period of five years, the infrastructure should greatly enhance China's core competence in collection, interpretation and application of biomedical big data.

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“…Challenges of data integration in the biomedical sciences include determining available and usable data, completeness, re-use for novel approaches for data discovery and exploitation [1,13].…”

Section: Open Data For Scientific Researchmentioning

confidence: 99%

Integrating Open Data on Cancer in Support to Tumor Growth Analysis

Jeanquartier

Jean-Quartier

Schreck

et al. 2016

Information Technology in Bio- And Medical Informatics

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Abstract. The general disease group of malignant neoplasms depicts one of the leading and increasing causes for death. The underlying complexity of cancer demands for abstractions to disclose an exclusive subset of information related to the disease. Our idea is to create a user interface for linking a simulation on cancer modeling to relevant additional publicly and freely available data. We are not only providing a categorized list of open datasets and queryable databases for the different types of cancer and related information, we also identify a certain subset of temporal and spatial data related to tumor growth. Furthermore, we describe the integration possibilities into a simulation tool on tumor growth that incorporates the tumor's kinetics.

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Data integration in the era of omics: current and future challenges

Cited by 324 publications

References 63 publications

The era of nanotechnology and omics sciences

The era of nanotechnology and omics sciences

Strategic planning for national biomedical big data infrastructure in China

Integrating Open Data on Cancer in Support to Tumor Growth Analysis

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