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3 materials found

Contributors: Bang Wong  or Dr. Nils Gehlenborg 


Cellular Image Data

Peter Sorger (http://sorger.med.harvard.edu/) and Bang Wong (http://bang.clearscience.info/) talk about the challenges of visualising large sets of multidimensional data (e.g. single cell imaging, dose-response assays, multiplex biochemistry etc.).This video was filmed and distributed with...

Keywords: Cells and Organisms

Resource type: Video

Cellular Image Data https://tess.elixir-europe.org/materials/cellular-image-data Peter Sorger (http://sorger.med.harvard.edu/) and Bang Wong (http://bang.clearscience.info/) talk about the challenges of visualising large sets of multidimensional data (e.g. single cell imaging, dose-response assays, multiplex biochemistry etc.).This video was filmed and distributed with permission under a Creative Commons license. Created at: VIZBI 2013. Bang Wong Cells and Organisms 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 https://tess.elixir-europe.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
Art and Science: A partnership catalyzing discovery in biomedicine

A 3rd BiVi 2017 Keynote Presentation by Bang Wong, Broad Institute of MIT & Harvard and Department of Art as Applied to Medicine, Johns Hopkins University School of MedicineChaired by: Geoff BartonThe data generated by the biomedical research community hold tremendous potential to inform our...

Scientific topics: Phylogenetics, Pathway or network

Keywords: Anatomy Physiology and Atlases, Cells and Organisms, Genome, Molecular, Pathway, Phylogenetics, Populations, Communication, Information visualisation

Resource type: Video

Art and Science: A partnership catalyzing discovery in biomedicine https://tess.elixir-europe.org/materials/art-and-science-a-partnership-catalyzing-discovery-in-biomedicine A 3rd BiVi 2017 Keynote Presentation by Bang Wong, Broad Institute of MIT & Harvard and Department of Art as Applied to Medicine, Johns Hopkins University School of MedicineChaired by: Geoff BartonThe data generated by the biomedical research community hold tremendous potential to inform our understanding and treatment of disease. The challenge is to ensure that technical and non-technical researchers can access, use and learn from this wealth of data and analytical resources. Bang will present examples of solutions developed at the Broad Institute that draw on art and design to enable scientific discovery.Bang Wong is the creative director of the Broad Institute of MIT & Harvard and an adjunct assistant professor in the Department of Art as Applied to Medicine at the Johns Hopkins University School of Medicine. His work focuses on the design and development of computation-visualization tools to meet the analytical challenges of research data. He leads the data visualization initiative at the Broad and is the founding author of Points of View published by Nature Methods, a series of articles that focus on the fundamental aspects of data presentation in science. Created at: 3rd BiVi Annual Meeting (2017). Bang Wong Phylogenetics Pathway or network Anatomy Physiology and Atlases, Cells and Organisms, Genome, Molecular, Pathway, Phylogenetics, Populations, Communication, Information visualisation 2017-05-12