10.5281/zenodo.3601649
https://zenodo.org/records/3601649
oai:zenodo.org:3601649
Doganis, Philip
Philip
Doganis
0000-0002-0628-8434
National Technical University of Athens
Sarimveis, Haralambos
Haralambos
Sarimveis
0000-0002-8607-9965
National Technical University of Athens
Karatzas, Pantelis
Pantelis
Karatzas
National Technical University of Athens
Meier, Dieter
Dieter
Meier
Biomax Informatics AG
Lynch, Iseult
Iseult
Lynch
0000-0003-4250-4584
University of Birmingham
D5.2 - First big data (omics) analysis and mining tools integrated into KnowledgeBase
Zenodo
2020
H2020
NanoCommons
Big data
Omics
Data mining
2020-01-08
eng
Project deliverable
10.5281/zenodo.3601648
https://zenodo.org/communities/nanocommons
https://zenodo.org/communities/nsc
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
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).
European Commission
10.13039/501100000780
731032
The European Nanotechnology Community Informatics Platform: Bridging data and disciplinary gaps for industry and regulators (NanoCommons)