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

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

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Doganis, Philip</dc:creator>
  <dc:creator>Sarimveis, Haralambos</dc:creator>
  <dc:creator>Karatzas, Pantelis</dc:creator>
  <dc:creator>Meier, Dieter</dc:creator>
  <dc:creator>Lynch, Iseult</dc:creator>
  <dc:description>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).</dc:description>
  <dc:subject>Big data</dc:subject>
  <dc:subject>Data mining</dc:subject>
  <dc:title>D5.2 - First big data (omics) analysis and mining tools integrated into KnowledgeBase</dc:title>
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