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D5.2 - First big data (omics) analysis and mining tools integrated into KnowledgeBase

Authors: Doganis, Philip; Sarimveis, Haralambos; Karatzas, Pantelis; Meier, Dieter; Lynch, Iseult;

D5.2 - First big data (omics) analysis and mining tools integrated into KnowledgeBase

Abstract

The current deliverable is part of Work Package 5 (WP5) Joint Research Activity 3 (JRA3) - Analysis and Modelling Tools, which aims to integrate the current state of the art tools for data mining and data analysis, utilising a linked data approach that will exploit, extract, and integrate knowledge from all available information (raw experimental and modelling data, and metadata) contained in the NanoCommons data warehouse (DW) and KnowledgeBase (KB). These tools and the expertise to apply them and interpret the outputs in a meaningful manner, once linked and interoperable via the NanoCommons platform, will be made available to the NanoCommons User community via the open calls for Transnational Access. This Deliverable report describes the initial set of tools directed towards analysis of “omics” datasets, including transcriptomics (analysis of changes in gene expression), proteomics (analysis of changes in protein expression), metabolomics and lipidomics (changes in expression of small molecules and lipids, respectively).

Keywords

Big data, H2020, Omics, NanoCommons, Data mining

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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