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Contributors: Dr. Nils Gehlenborg  or Pinar Alper 

Data publishing and archival

Slides for the "Data publishing and archival" session of the "Research Data Management and Stewardship Training" held on 14 June 2021 by ELIXIR-Luxembourg.

Keywords: Data publishing, data archiving, Data preserving

Resource type: Presentation

Data publishing and archival http://tess.elixir-uk.org/materials/data-publishing-and-archival Slides for the "Data publishing and archival" session of the "Research Data Management and Stewardship Training" held on 14 June 2021 by ELIXIR-Luxembourg. Pinar Alper Roland Krause Nene Barry Vilem Ded Data publishing, data archiving, Data preserving Master students data stewards Researchers PhD candidates
Practicalities of data handling

Slides for the "Practicalities of data handling" session of the "Research Data Management and Stewardship Training" held regularly by ELIXIR-Luxembourg.

Scientific topics: Data management, Data acquisition, Data security

Operations: Data handling

Keywords: data encryption, data protection, setup, checksums, Data transfer, Data storage, data organisation

Resource type: Presentation

Practicalities of data handling http://tess.elixir-uk.org/materials/practicalities-of-data-handling Slides for the "Practicalities of data handling" session of the "Research Data Management and Stewardship Training" held regularly by ELIXIR-Luxembourg. Pinar Alper Roland Krause Nene Barry Data management Data acquisition Data security data encryption, data protection, setup, checksums, Data transfer, Data storage, data organisation Researchers PhD Master students
Reproducible analysis

Slides for the "Reproducible analysis" session of the "Best practices in research data management and stewardship" held regularly by ELIXIR-Luxembourg.

Scientific topics: Data architecture, analysis and design

Keywords: Workflows, Literate programming, Reproducible Science, Data analysis

Resource type: Presentation

Reproducible analysis http://tess.elixir-uk.org/materials/reproducible-analysis Slides for the "Reproducible analysis" session of the "Best practices in research data management and stewardship" held regularly by ELIXIR-Luxembourg. Pinar Alper Vilem Ded Data architecture, analysis and design Workflows, Literate programming, Reproducible Science, Data analysis PhD candidates Researchers
Visualization Approaches for Biomedical Omics Data: Putting It All Together

Dr Nils Gehlenborg gives his keynote at 1st BiVi in 2014. The rapid proliferation of high quality, low cost genome-wide measurement technologies such as whole-genome and transcriptome sequencing, as well as advances in epigenomics and proteomics, are enabling researchers to perform studies that...

Keywords: Genome, Molecular

Resource type: Video

Visualization Approaches for Biomedical Omics Data: Putting It All Together http://tess.elixir-uk.org/materials/visualization-approaches-for-biomedical-omics-data-putting-it-all-together Dr Nils Gehlenborg gives his keynote at 1st BiVi in 2014. The rapid proliferation of high quality, low cost genome-wide measurement technologies such as whole-genome and transcriptome sequencing, as well as advances in epigenomics and proteomics, are enabling researchers to perform studies that generate heterogeneous datasets for cohorts of thousands of individuals. A common feature of these studies is that a collection of genome-wide, molecular data types and phenotypic or clinical characterizations are available for each individual. These data can be used to identify the molecular basis of diseases and to characterize and describe the variations that are relevant for improved diagnosis, prognosis and targeted treatment of patients. An example for a study in which this approach has been successfully applied is The Cancer Genome Atlas project (http://cancergenome.nih.gov).In this talk Dr Gehlenborg discusses how visualization approaches can be applied to enable exploration and support analysis of data generated by such studies. Specifically, he reviews techniques and tools for visual exploration of individual omics data types, their ability to scale to large numbers of individuals or samples, and emerging techniques that integrate multiple omics data types for interactive visual analysis. He also examines technical and legal challenges that developers of such visualization tools are facing. To conclude the talk, he outlines research opportunities for the biological data visualization community that address major challenges in this domain. Created at: 1st BiVi Annual Meeting. Dr. Nils Gehlenborg Genome, Molecular 2017-02-02