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Publication . Other literature type . Project deliverable . 2020

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

Doganis, Philip; Sarimveis, Haralambos; Karatzas, Pantelis; Meier, Dieter; Lynch, Iseult;
Open Access
English
Published: 08 Jan 2020
Publisher: Zenodo
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).
Subjects

H2020, NanoCommons, Big data, Omics, Data mining

Funded by
EC| NanoCommons
Project
NanoCommons
The European Nanotechnology Community Informatics Platform: Bridging data and disciplinary gaps for industry and regulators (NanoCommons)
  • Funder: European Commission (EC)
  • Project Code: 731032
  • Funding stream: H2020 | RIA
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ZENODO
Other literature type . 2020
Providers: ZENODO
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