Multi-omics Quality Assessment in Personalized Medicine through EATRIS
EATRIS Plus Multi-omics working group and stakeholders (in alphabetical order by last name), Patricia Alonso-AndrésiD, Davide BaldazziiD, Qiaochu CheniD, Elisa CondeiD, Lorena Crespo-ToroiD, Kati M. DonneriD, Petr DžubákiD, Sara EkbergiD, Laura García‐BermejoiD, Daniela GasparottoiD, Bishwa R. GhimireiD, Jolein GloerichiD, Janine HabieriD, Marián HajdúchiD, Rashi HalderiD, Sari HannulaiD, Hanna LindgreniD, Yaqing LiuiD, Roberta MaestroiD, Tom MartiniD, Pirkko MattilaiD, Lukáš NajdekriD, Kenneth NaziriD, Anna NiehuesiD, , Patricia ŽižkovičováiD
Abstract
Molecular characterization of a biological sample, e.g., with omics approaches, is fundamental for the development and implementation of personalized and precision medicine approaches. In this context, quality assessment is one of the most critical aspects. Accurate performance and interpretation of omics techniques is based on consensus, harmonization, and standardization of protocols, procedures, data analysis and reference values and materials. EATRIS, the European Infrastructure for Translational Medicine (www.EATRIS.eu), brings together resources and services to support researchers in developing their biomedical discoveries into novel translational tools and interventions for better health outcomes. Here we describe activities of member facilities of EATRIS towards quality assessment of pre-clinical sample processing, clinical omics data generation, multi-omics data integration, and dissemination of the resources in a Multi-Omics Toolbox, the principal deliverable of the EATRIS Plus project for the consolidation of EATRIS towards translational Medicine.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 6
- Research Focus
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The Quartet Data Portal: integration of community-wide resources for multiomics quality control
Jingcheng Yang, Yaqing Liu, … Yuanting Zheng·Genome biologyPeer-reviewed·Oct 26, 2023
- Ratio-based quantitative multiomics profiling using universal reference materials empowers data integration
Yuanting Zheng, Yaqing Liu, … Leming M. Shi·bioRxiv·Oct 24, 2022
- Comprehensive multi-omics profiling of a healthy human cohort
Casper de Visser, Anna Niehues, … Peter A.C. ’t Hoen·bioRxiv·Nov 7, 2024
- Muon: multimodal omics analysis framework
Danila Bredikhin, Ilia Kats, Oliver Stegle·Genome biologyPeer-reviewed·Feb 1, 2022
- The Personal Genome Project-UK: an open access resource of human multi-omics data
Olga Chervova, Lucía Conde, … Stephan Beck·Scientific DataPeer-reviewed·Oct 31, 2019
- Researcher Views on Multi-omics Return of Results to Research Participants: Insights from the Molecular Transducers of Physical Activity Consortium (MoTrPAC) Study
Kelly E. Ormond, Caroline R. Stanclift, … Matthew Thomas Wheeler·medRxiv·May 15, 2024