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  1. 1381
    “…It is therefore essential that biomolecular fractions obtained for high-throughput omic analyses are representative of single samples to facilitate meaningful data integration, analysis and modeling. We have developed a new methodological framework for the reproducible isolation of high-quality genomic DNA, large and small RNA, proteins, and polar and non-polar metabolites from single unique mixed microbial community samples. …”
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    A biomolecular isolation framework for eco-systems biology
  2. 1382
    por Zhan, Shuai, Reppert, Steven M.
    Publicado 2013
    “…Moreover, MonarchBase provides access to an updated version of genome assembly (v3) upon which all data integration is based. These include genes with systematic annotation, as well as other molecular resources, such as brain expressed sequence tags, migration expression profiles and microRNAs. …”
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    MonarchBase: the monarch butterfly genome database
  3. 1383
    “…There is an extensive literature associated with the best practice of model generation and data integration but management and automated identification of relevant models from available collections of models is still an open problem. …”
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    Using Pareto points for model identification in predictive toxicology
  4. 1384
    “…Since the last report published in the 2012 NAR Database Issue, IMG/M’s database architecture, annotation and data integration pipelines and analysis tools have been extended to copewith the rapid growth in the number and size of metagenome data sets handled by the system. …”
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    IMG/M 4 version of the integrated metagenome comparative analysis system
  5. 1385
    “…Annotation with biomedical ontologies allows biologists and clinicians to easily find mouse strains with phenotypic traits relevant to their research. Data integration with other resources will provide insights into mammalian gene function and human disease. …”
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    The International Mouse Phenotyping Consortium Web Portal, a unified point of access for knockout mice and related phenotyping data
  6. 1386
    “…Since the last report published in the 2012 NAR Database Issue, IMG’s annotation and data integration pipelines have evolved while new tools have been added for recording and analyzing single cell genomes, RNA Seq and biosynthetic cluster data. …”
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    IMG 4 version of the integrated microbial genomes comparative analysis system
  7. 1387
    “…In order to reduce the impact of such discrepancies, a number of data integration and affinity scoring schemes have been devised. …”
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    A Novel Algorithm for Detecting Protein Complexes with the Breadth First Search
  8. 1388
    “…FINDINGS: STINGRAY includes: (a) a complete and integrated workflow (more than 20 bioinformatics tools) ranging from functional annotation to phylogeny; (b) a MySQL database schema, suitable for data integration and user access control; and (c) a user-friendly graphical web-based interface that makes the system intuitive, facilitating the tasks of data analysis and annotation. …”
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    STINGRAY: system for integrated genomic resources and analysis
  9. 1389
    “…This paper describes how DISCO, the data aggregator that supports the Neuroscience Information Framework (NIF), has been extended to play a central role in automating the complex workflow required to support and coordinate the NIF’s data integration capabilities. The NIF is an NIH Neuroscience Blueprint initiative designed to help researchers access the wealth of data related to the neurosciences available via the Internet. …”
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    Extending the NIF DISCO framework to automate complex workflow: coordinating the harvest and integration of data from diverse neuroscience information resources
  10. 1390
    “…These findings suggest that an inertial sensor-based motion tracking system can be used in patients who have upper limb impairment through data integration with a virtual reality-based neuroretation system.…”
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    A novel motion tracking system for evaluation of functional rehabilitation of the upper limbs
  11. 1391
    “…We then applied this approach to a large multi-batch data set to facilitate intra- and inter-batch data integration. Our results demonstrate that normalization to a single reference standard has the potential to minimize batch-to-batch data variation across a large, multi-batch data set. …”
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    A modified data normalization method for GC-MS-based metabolomics to minimize batch variation
  12. 1392
    “…RESULTS: In this paper, we propose a multiple data integration method based on the theory of Markov random field (MRF) and the method of Bayesian analysis for identifying human disease genes. …”
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    Identifying disease genes by integrating multiple data sources
  13. 1393
    “…We developed a fluorescence microscopy method to track the average positions of yeast endocytic proteins in relation to each other with a time precision below 1 s and with a spatial precision of ∼10 nm. With these data, integrated with shapes of endocytic membrane intermediates and with superresolution imaging, we could visualize the dynamic architecture of the endocytic machinery. …”
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    Visualizing the functional architecture of the endocytic machinery
  14. 1394
    “…In addition to the JGA project, DDBJ Center develops Semantic Web technologies for data integration and sharing in collaboration with the Database Center for Life Science. …”
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    The DDBJ Japanese Genotype-phenotype Archive for genetic and phenotypic human data
  15. 1395
    “…Data integration procedures combine heterogeneous data sets into predictive models, but they are limited to data explicitly related to the target object type, such as genes. …”
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    Gene Prioritization by Compressive Data Fusion and Chaining
  16. 1396
    “…While each of these features enables applications that facilitate data integration, data access and analysis, a great potential lies in the possibility of combining these four features to support integrative analysis and interpretation of multimodal data. …”
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    The role of ontologies in biological and biomedical research: a functional perspective
  17. 1397
    “…After inter-platform data integration of Affymetrix U95 and U133 Plus 2.0 arrays and quantile normalization, in this paper we used 18 of 34 GOI to divide the mastectomy patients into high and low risk groups. …”
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    An Eighteen-Gene Classifier Predicts Locoregional Recurrence in Post-Mastectomy Breast Cancer Patients
  18. 1398
    “…Summary: SBtab is a table-based data format for Systems Biology, designed to support automated data integration and model building. It uses the structure of spreadsheets and defines conventions for table structure, controlled vocabularies and semantic annotations. …”
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    SBtab: a flexible table format for data exchange in systems biology
  19. 1399
    “…Three different data integration approaches were developed: The first is based on Sequence Ontology, the second is based on the tranSMART engine, and the third on CouchDB. …”
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    Combining clinical and genomics queries using i2b2 – Three methods
  20. 1400
    “…We propose a novel data integration approach which identifies concordant and discordant gene expression patterns of the immune responses in heterologous data sets. …”
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    Concordant and discordant gene expression patterns in mouse strains identify best-fit animal model for human tuberculosis
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