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  • miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.

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  • The purpose of the Social Data Repository (RDS) is to make available in the Internet social data, consisting of data sets and accompanying technical or methodological documentation. The repository is open for everyone. It is operated by the University of Warsaw (Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw). Individual collections in the Social Data Repository are subject to editorial review by University of Warsaw or collection administrators, under separate rules for a given collection. In particular, the supervising editor for the collection “Archive of Quantitative Social Data” is the Team of the Archive of Quantitative Social Data.

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  • miRNEST is an integrative collection of animal, plant and virus microRNA data. miRNEST is being gradually developed to create an integrative resource of miRNA-associated data. The data comes from our computational predictions (new miRNAs, targets, mirtrons, miRNA gene structures) as well as from other databases and publications.

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  • The purpose of the Social Data Repository (RDS) is to make available in the Internet social data, consisting of data sets and accompanying technical or methodological documentation. The repository is open for everyone. It is operated by the University of Warsaw (Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw). Individual collections in the Social Data Repository are subject to editorial review by University of Warsaw or collection administrators, under separate rules for a given collection. In particular, the supervising editor for the collection “Archive of Quantitative Social Data” is the Team of the Archive of Quantitative Social Data.

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