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  1. 1981
    “…METHODS: To overcome this, we designed and developed a dedicated database system that can serve and solve the vital issues in data management and hereby facilitate data integration, modeling and analysis in systems biology within a sole database. …”
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    A dedicated database system for handling multi-level data in systems biology
  2. 1982
    “…Here we show how SUBA3 can be used to explore the subcellular location of the Deg protease family of ATP-independent serine endopeptidases (Deg1–Deg16). Combined data integration and new experiments refined location information for Deg1 and Deg9, confirmed Deg2, Deg5, and Deg8 in plastids and Deg 15 in peroxisomes and provide substantial experimental evidence for mitochondrial localized Deg proteases. …”
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    Using the SUBcellular database for Arabidopsis proteins to localize the Deg protease family
  3. 1983
    “…While the individual technologies needed to achieve this are mostly available, data integration and standardization is not a trivial process. …”
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    Invadopodia in context
  4. 1984
    “…SOMs are suitable for complex data integration, allow easy visualization of outcomes, and may stratify BC progression more robustly than hierarchical clustering.…”
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    Molecular subtyping of bladder cancer using Kohonen self-organizing maps
  5. 1985
    “…Current available rank aggregation methods do not consider the network information that has been observed to provide vital contributions in many data integration studies. We developed network tuned rank aggregation methods incorporating network information and demonstrated its superior performance over aggregation methods without network information. …”
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    Network tuned multiple rank aggregation and applications to gene ranking
  6. 1986
    “…The information is obtained by manual extraction from primary literature, text and data mining, data integration, and prediction algorithms. Approximately 300 million data include enzyme function and molecular data from more than 30 000 organisms. …”
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    BRENDA in 2015: exciting developments in its 25th year of existence
  7. 1987
    “…Notably, EHFPI also provides six powerful and data-integrative analysis tools, i.e. EHF Overlap Analysis, EHF-pathogen Network Analysis, Gene Enrichment Analysis, Pathogen Interacting Proteins (PIPs) Analysis, Drug Target Analysis and GWAS Candidate Gene Analysis, which advance the comprehensive understanding of the biological roles of EHF genes, as in diverse perspectives of protein–protein interaction network, drug targets and diseases/traits. …”
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    EHFPI: a database and analysis resource of essential host factors for pathogenic infection
  8. 1988
    “…Data was manually extracted from the published literature and supplemented with data integrated from other available resources. Metrabase version 1.0 is freely available under a CC BY-SA 4.0 license at http://www-metrabase.ch.cam.ac.uk. …”
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    Metrabase: a cheminformatics and bioinformatics database for small molecule transporter data analysis and (Q)SAR modeling
  9. 1989
    “…Integration of results from metabolomics and metagenomics holds promise for understanding the health implications of prebiotic microbiome modulation but adequate tools for data integration and interpretation are currently lacking. …”
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    Towards microbial fermentation metabolites as markers for health benefits of prebiotics
  10. 1990
    “…The aim of this review and perspective is to evaluate, succinctly, promising data analysis approaches to enable data integration for clinical research, with an emphasis on the longitudinal component. …”
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    Longitudinal omics modeling and integration in clinical metabonomics research: challenges in childhood metabolic health research
  11. 1991
    “…CONCLUSIONS: This work provides a foundation for future investigation of diverse heterogeneous data integration for disease-gene prioritization.…”
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    A computational framework for the prioritization of disease-gene candidates
  12. 1992
    “…Objectives: Our objectives were to develop and validate an ontology to: 1) identify components of identity and events subsequent to birth that result in creation, change, or sharing of identity information; 2) develop an ontology to facilitate data integration from multiple healthcare and public health sources; and 3) validate the ontology’s ability to model identity-changing events over time. …”
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    Building an Ontology for Identity Resolution in Healthcare and Public Health
  13. 1993
    “…The major issues are the usually very high ratio of number of genes to sample size, and the noise in the available data. Integrating biological prior knowledge to the learning process is a natural and promising way to partially compensate for the lack of reliable expression data and to increase the accuracy of network reconstruction algorithms. …”
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    Reconstruction of gene networks using prior knowledge
  14. 1994
    “…GEneSTATION is built using tools from the Generic Model Organism Database project, including the biology-aware database CHADO, new tools for rapid data integration, and algorithms that streamline synthesis and user access. …”
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    GEneSTATION 1.0: a synthetic resource of diverse evolutionary and functional genomic data for studying the evolution of pregnancy-associated tissues and phenotypes
  15. 1995
    “…The proposed assessment model based on data fusion combined with a qualitative assessment method was revealed to be suitable. Data integration raises several concerns and challenges to the design, development and application of monitoring systems applied to pain.…”
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    Pain Assessment–Can it be Done with a Computerised System? A Systematic Review and Meta-Analysis
  16. 1996
    “…BACKGROUND: Text mining and data integration methods are gaining ground in the field of health sciences due to the exponential growth of bio-medical literature and information stored in biological databases. …”
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    DrugQuest - a text mining workflow for drug association discovery
  17. 1997
    “…The use cases include the ENGAGE (European Network for Genetic and Genomic Epidemiology) consortium comprising at least 39 cohorts, the SUMMIT (surrogate markers for micro- and macro-vascular hard endpoints for innovative diabetes tools) consortium and a pilot for data integration between a Swedish clinical health registry and a biobank. …”
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    Harmonising and linking biomedical and clinical data across disparate data archives to enable integrative cross-biobank research
  18. 1998
    por Jay, Jeremy J., Brouwer, Cory
    Publicado 2016
    “…CONCLUSION: The Lollipops software creates information-dense, publication-quality mutation plots for automated pipelines and high-throughput workflows in precision medicine. The automatic data integration enables clinical data security, and visualization heuristics concisely present knowledge with minimal user configuration.…”
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    Lollipops in the Clinic: Information Dense Mutation Plots for Precision Medicine
  19. 1999
    “…Meanwhile, the emerging role of miR-132-3p/212-3p being involved in human cancer also been analyzed by several webtools for TCGA data integrative analysis, most remarkably and well worth exploring in our research conclusion that showed miR-132-3p/212-3p may be the core molecular underlying tumor-induced epileptogenesis.…”
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    Comparative study of joint bioinformatics analysis of underlying potential of ‘neurimmiR’, miR-212-3P/miR-132-3P, being involved in epilepsy and its emerging role in human cancer
  20. 2000
    “…The application utilizes Web services to enable data integration with a variety of EHRs for retrieval and storage of patient data. …”
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    Prototype Development: Context-Driven Dynamic XML Ophthalmologic Data Capture Application
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