Version 9 (modified by kozo-ni, 15 years ago)

--

Satellite meeting for Data Visualization

Topics

Visualization for large datasets including:

  • Protein-Protein Interaction
  • Pathways
  • Genome
  • other

This includes development of easy-to-use backend data services such as

  • Interaction network data service
  • Annotation service

Chairperson

  • Bruno Aranda (baranda@…)

Participants

  • Keichiro Ono (kono@…)
  • Soichi Ogishima (ogishima@…)
  • Kozo Nishida (kozo-ni@…)
  • Add yourself! :)

Targets

  • Last yeat in the hackathon, we have developed a common query web service API for interaction databases called PSICQUIC. Some of the service providers have published their service and now we should think about how to use the service in client and make them easy-to-use for all service users.
  • The goal of this group is the following:
    • Make backend service more easy-to-use client software
      • Cleaner API
      • REST support
    • Create intuitive UI for client software
    • Design more sphisticated visualization

Date

  • Most of the time during the hackathon. Feel free to join anytime :-)

Room

  • Chura Hall (3F)

Presentations

Fill:

  • Name of the presenter
    • Title of the talk
    • Attachments (PPT or PDF slides etc.)

Notes

  • blah, blah, blah - YOUR NAME
  • blah, blah, blah - YOUR NAME

Results

Lorem ipsum dolor sit amet, ligula nulla pretium, rhoncus tempor placerat fermentum, enim integer ad vestibulum volutpat. Nisl turpis est, vel elit, congue wisi enim nunc ultricies sit, magna tincidunt. Maecenas aliquam maecenas ligula nostra, accumsan taciti. Sociis mauris in integer, a dolor netus non dui aliquet, sagittis felis sodales, dolor sociis mauris, vel eu libero cras. Interdum at. Eget habitasse elementum est, ipsum purus pede porttitor class, ut, aliquet sed auctor, imperdiet arcu per diam dapibus libero duis. nec leo, temporibus scelerisque nec. Ac dolor ac adipiscing amet bibendum nullam, massa lacus molestie ut libero nec, diam et, pharetra sodales eget, feugiat ullamcorper id tempor eget id vitae. Mauris pretium eget aliquet, lectus tincidunt. Porttitor mollis libero senectus pulvinar. Etiam molestie mauris ligula eget laoreet, vehicula eleifend. Repellat orci eget erat et, sem cum, ultricies sollicitudin amet eleifend dolor nullam erat, malesuada est leo ac. Varius congue wisi enim natoque turpis elementum est.

Duis montes, tellus lobortis lacus amet arcu et. In vitae vel, wisi at, id praesent libero faucibus porta egestas, quisque praesent ipsum fermentum placerat tempor. Curabitur auctor, erat mollis sed fusce, turpis vivamus a dictumst congue magnis. Aliquam amet ullamcorper dignissim molestie, gravida mollis. Tortor vitae tortor eros wisi facilisis. Consectetuer arcu ipsum ornare pellentesque, feugiat at. Aptent morbi nibh mauris a, tortor eu vel vel suscipit. Donec quam, erat ut vel cursus. Praesent integer leo orci aliquam, nibh a. Diam nobis eget, erat.

natoque integer fringilla viverra ferment placerat tempor. Curabitur auctor, erat mollis sed fusce, turpis vivamus a dictumst congue magnis. Aliquam amet ullamcorper dignissim molestie, gravida mollis. Tortor vitae tortor eros wisi facilisis. Consectetuer vivamus a dictumst auctor, erat mollis.

TODOs

  • Visualize time-series microarray data using Cytoscape
    • Animation (using dynamic layout)
  • More biologically meaningful graph layout

Attachments