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1621por Coulet, Adrien, Smaïl-Tabbone, Malika, Benlian, Pascale, Napoli, Amedeo, Devignes, Marie-Dominique“…In turn, the results of this study may be reused in ontology modelling and data integration.…”
Publicado 2008
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1622por Blankenburg, Hagen, Finn, Robert D., Prlić, Andreas, Jenkinson, Andrew M., Ramírez, Fidel, Emig, Dorothea, Schelhorn, Sven-Eric, Büch, Joachim, Lengauer, Thomas, Albrecht, Mario“…DASMI is based on the widely used Distributed Annotation System (DAS) and consists of a data exchange specification, web servers for providing the interaction data and clients for data integration and visualization. The decentralized architecture of DASMI affords the online retrieval of the most recent data from distributed sources and databases. …”
Publicado 2009
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1623por Bult, Carol J., Kadin, James A., Richardson, Joel E., Blake, Judith A., Eppig, Janan T“…Recent improvements in MGD described here includes integration of mouse gene trap allele and sequence data, integration of gene targeting information from the International Knockout Mouse Consortium, deployment of an MGI Biomart, and enhancements to our batch query capability for customized data access and retrieval.…”
Publicado 2010
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1624por Gerhard, Stephan, Daducci, Alessandro, Lemkaddem, Alia, Meuli, Reto, Thiran, Jean-Philippe, Hagmann, Patric“…The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. …”
Publicado 2011
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1625por Muiño, Jose M., Hoogstraat, Marlous, van Ham, Roeland C. H. J., van Dijk, Aalt D. J.“…Secondary analysis of data can be performed with the aid of GALAXY, an external framework for tool and data integration. PRI-CAT is freely available at http://www.ab.wur.nl/pricat. …”
Publicado 2011
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1626por Althammer, Sonja, González-Vallinas, Juan, Ballaré, Cecilia, Beato, Miguel, Eyras, Eduardo“…Pyicos facilitates the analysis of a variety of HTS datatypes through its flexibility and memory efficiency, providing a useful framework for data integration into models of regulatory genomics. Availability: Open-source software, with tutorials and protocol files, is available at http://regulatorygenomics.upf.edu/pyicos or as a Galaxy server at http://regulatorygenomics.upf.edu/galaxy Contact: eduardo.eyras@upf.edu Supplementary Information: Supplementary data are available at Bioinformatics online.…”
Publicado 2011
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1627“…The molecular features of HCC have largely been studied by gene expression and proteome profiling focusing on the correlations between the expression of specific markers and clinical data. Integration of the increasing amounts of data in databases has facilitated the link of genomic and proteomic profiles of HCC to disease state and clinical outcome. …”
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1628por Colcombet, Jean, Lopez-Obando, Mauricio, Heurtevin, Laure, Bernard, Clément, Martin, Karine, Berthomé, Richard, Lurin, Claire“…Through systematic localization experiments and data integration, we confirmed that PPR proteins are largely targeted to organelles and showed that dual targeting to both the mitochondria and plastid occurs more frequently than expected. …”
Publicado 2013
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1629por Wang, Yanli, Suzek, Tugba, Zhang, Jian, Wang, Jiyao, He, Siqian, Cheng, Tiejun, Shoemaker, Benjamin A., Gindulyte, Asta, Bryant, Stephen H.“…In this work, we provide an update for the PubChem BioAssay resource, such as information content growth, new developments supporting data integration and search, and the recently deployed PubChem Upload to streamline chemical structure and bioassay submissions.…”
Publicado 2014
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1630“…RESULTS: Using prior knowledge improved the clustering quality by reducing the impact of noise and high dimensionality in microarray data. Integration of consensus clustering with semi-supervised clustering improved performance as compared to using consensus clustering or semi-supervised clustering separately. …”
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1631por Yamanishi, Yoshihiro, Kotera, Masaaki, Moriya, Yuki, Sawada, Ryusuke, Kanehisa, Minoru, Goto, Susumu“…The user can also select an algorithm for supervised network inference, select various parameters in the method and specify weights for heterogeneous data integration. The server can provide integrative analyses with useful components in KEGG, such as biological pathways, functional hierarchy and human diseases. …”
Publicado 2014
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1632“…BACKGROUND: Biomedical imaging research increasingly involves acquiring, managing and processing large amounts of distributed imaging data. Integrated systems that combine data, meta-data and workflows are crucial for realising the opportunities presented by advances in imaging facilities. …”
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1633por Krishnakumar, Vivek, Hanlon, Matthew R., Contrino, Sergio, Ferlanti, Erik S., Karamycheva, Svetlana, Kim, Maria, Rosen, Benjamin D., Cheng, Chia-Yi, Moreira, Walter, Mock, Stephen A., Stubbs, Joseph, Sullivan, Julie M., Krampis, Konstantinos, Miller, Jason R., Micklem, Gos, Vaughn, Matthew, Town, Christopher D.“…Designed for sustainability, the Arabidopsis Information Portal strategy exploits existing scientific computing infrastructure, adopts a practical mixture of data integration technologies and encourages collaborative enhancement of the resource by its user community.…”
Publicado 2014
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1634por Navas-Delgado, Ismael, García-Godoy, María Jesús, López-Camacho, Esteban, Rybinski, Maciej, Reyes-Palomares, Armando, Medina, Miguel Ángel, Aldana-Montes, José F.“…The heterogeneity of these databases makes data integration a challenging issue. Some integration challenges are locating resources, relationships, data formats, synonyms or ambiguity. …”
Publicado 2015
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1635por Fernandez-Lozano, Carlos, Seoane, Jose A., Gestal, Marcos, Gaunt, Tom R., Dorado, Julian, Pazos, Alejandro, Campbell, Colin“…We found that the best classification model was FSMKL, a data integration method using multiple kernel learning, which achieved AUROC values above 95% while using a reduced number of features. …”
Publicado 2016
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1636“…This collective storage allows fast and convenient loading of data for further analyses. pypet provides various additional features such as multiprocessing and parallelization of simulations, dynamic loading of data, integration of git version control, and supervision of experiments via the electronic lab notebook Sumatra. pypet supports a rich set of data formats, including native Python types, Numpy and Scipy data, Pandas DataFrames, and BRIAN(2) quantities. …”
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1637por Chen, Xin, Chakravarty, Tushar, Zhang, Yiqiang, Li, Xiaojin, Zhong, Jiang F., Wang, Charles“…The molecular basis underlying the dedifferentiation of mammalian adult cardiomyocytes (ACMs) into myocyte-derived cardiac progenitor cells (mCPCs) during cardiac tissue regeneration is poorly understood. We present data integrating single-cell transcriptome and whole-genome DNA methylome analyses of mouse mCPCs to understand the epigenomic reprogramming governing their intrinsic cellular plasticity. …”
Publicado 2016
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1638por Casas-Vila, Nuria, Bluhm, Alina, Sayols, Sergi, Dinges, Nadja, Dejung, Mario, Altenhein, Tina, Kappei, Dennis, Altenhein, Benjamin, Roignant, Jean-Yves, Butter, Falk“…Moreover, the comparison with available transcriptomic data uncovered examples of poor correlation between mRNA and protein, underscoring the importance of proteomics to study developmental progression. Data integration of our embryogenesis proteome with tissue-specific data revealed spatial and temporal information for further functional studies of yet uncharacterized proteins. …”
Publicado 2017
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1639“…Justification of each method and data integration is described. DISCUSSION: Synthesis of findings will generate a comprehensive picture of how emergency nurses’ perceive and manage acute pain in critically ill adult patients. …”
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1640“…BACKGROUND: OsiriX (Pixmeo, Switzerland) is an open-source Digital Imaging and Communications in Medicine (DICOM) viewer that is gaining more and more attention in the neurosurgical community because of its user-friendly interface, powerful three-dimensional (3D) volumetric rendering capabilities, and various options for data integration. This paper presents in detail the use of OsiriX software as a preoperative planning tool in cranial neurosurgery. …”
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