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Contributors: Michael Ball  or Stephen Taylor  or Dr. Ting Wang 


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://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://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
Zegami: A tool for image data exploration

Stephen Taylor discusses the Zegami visualisation tool at 1st BiVi in 2014. An associated poster is also available. Created at: 1st BiVi Annual Meeting.

Keywords: Anatomy Physiology and Atlases, Cells and Organisms, Genome

Resource type: Poster, Video

Zegami: A tool for image data exploration https://tess.elixir-europe.org/materials/zegami-a-tool-for-image-data-exploration Stephen Taylor discusses the Zegami visualisation tool at 1st BiVi in 2014. An associated poster is also available. Created at: 1st BiVi Annual Meeting. Stephen Taylor Anatomy Physiology and Atlases, Cells and Organisms, Genome 2017-02-02
Zegami: Image visualisation, annotation and searching

Stephen Taylor describes and demonstrates Zegami at 2nd BiVi in 2015. Created at: 2nd BiVi Annual Meeting.

Keywords: Anatomy Physiology and Atlases, Cells and Organisms, Genome

Resource type: Slideshow

Zegami: Image visualisation, annotation and searching https://tess.elixir-europe.org/materials/zegami-image-visualisation-annotation-and-searching Stephen Taylor describes and demonstrates Zegami at 2nd BiVi in 2015. Created at: 2nd BiVi Annual Meeting. Stephen Taylor Anatomy Physiology and Atlases, Cells and Organisms, Genome 2017-02-03
Zegami: Digital Data Integration, Visualisation and Management

Stephen Taylor discusses Zegami with examples and latest developments at 3rd BiVi in April 2017.Zegami has the potential to do for images what the spreadsheet did for number calculations. It provides a way of manipulating images and derived values (from the images themselves or annotated...

Scientific topics: Database management

Keywords: Cells and Organisms, Databases

Resource type: Video

Zegami: Digital Data Integration, Visualisation and Management https://tess.elixir-europe.org/materials/zegami-digital-data-integration-visualisation-and-management Stephen Taylor discusses Zegami with examples and latest developments at 3rd BiVi in April 2017.Zegami has the potential to do for images what the spreadsheet did for number calculations. It provides a way of manipulating images and derived values (from the images themselves or annotated metadata) on a massive scale allowing querying and organisation of large image based collections. The talk will show various examples of its usage in biology and beyond, and will look at new features such as annotation to build training sets for machine learning. Created at: 3rd BiVi Annual Meeting (2017). Stephen Taylor Database management Cells and Organisms, Databases 2017-05-12