Register training material
2 materials found

Contributors: Dr. Nils Gehlenborg  or Dr. Alexander Lex 


enRoute: BioVis Best Paper

Alexander Lex (http://alexander-lex.com/) talks about enRoute, a tool for dynamic path extraction from biological pathway maps for in-depth experimental data analysis. He highlights the inherent problem with correlating real-life heterogeneous data to pathways, namely that they rarely follow the...

Scientific topics: Pathway or network

Keywords: Pathway

Resource type: Video

enRoute: BioVis Best Paper http://tess.elixir-uk.org/materials/enroute-biovis-best-paper Alexander Lex (http://alexander-lex.com/) talks about enRoute, a tool for dynamic path extraction from biological pathway maps for in-depth experimental data analysis. He highlights the inherent problem with correlating real-life heterogeneous data to pathways, namely that they rarely follow the same topography. enRoute tool allows the investigator to select defined sections of the pathway and display them in a linear fashion to allow for easier navigation of collated data. This talk was presented at VIZBI 2013, an international conference series on visualizing biological data (http://vizbi.org). This video was filmed and distributed with permission under a Creative Commons license. Created at: VIZBI 2013. Dr. Alexander Lex Pathway or network Pathway 2017-01-31
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