Epigenome Browser
Ting Wang (http://wang.wustl.edu/) addresses many of the challenges of navigating the complexity of genomic data and showcases the WashU Epigenome Browser that he is developing. The browser aims to give investigators maximum flexibility to explore and navigate the available genomic data in...
Keywords: Genome, Molecular
Resource type: Slideshow, Video
Epigenome Browser
https://bivi.co/presentation/epigenome-browser
https://tess.elixir-europe.org/materials/epigenome-browser
Ting Wang (http://wang.wustl.edu/) addresses many of the challenges of navigating the complexity of genomic data and showcases the WashU Epigenome Browser that he is developing. The browser aims to give investigators maximum flexibility to explore and navigate the available genomic data in multiple tracks, upload their own data as well as explore long-range interactions. He also highlights the need for the genome browsers to act as community resources and bioinformatics engines with the ability to analyse the mined 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. Ting Wang
Genome, Molecular
2017-01-31
BBSRC: Data and Data Visualisation
Michael Ball from BBSRC's closing remarks on Data and Data Visualisation from 1st BiVi in 2014.
Created at: 1st BiVi Annual Meeting.
Scientific topics: Phylogenetics, Pathway or network
Keywords: Anatomy Physiology and Atlases, Cells and Organisms, Genome, Molecular, Pathway, Phylogenetics, Populations, Information visualisation
Resource type: Video
BBSRC: Data and Data Visualisation
https://bivi.co/presentation/bbsrc-data-and-data-visualisation
https://tess.elixir-europe.org/materials/bbsrc-data-and-data-visualisation
Michael Ball from BBSRC's closing remarks on Data and Data Visualisation from 1st BiVi in 2014.
Created at: 1st BiVi Annual Meeting.
Michael Ball
Phylogenetics
Pathway or network
Anatomy Physiology and Atlases, Cells and Organisms, Genome, Molecular, Pathway, Phylogenetics, Populations, Information visualisation
2017-02-01
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://bivi.co/presentation/visualization-approaches-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
