Data repository mapping for influenza protein sequence analysis

Donald Pellegrino, Chaomei Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper introduces a new method for creating an interactive sequence similarity map of all known influenza virus protein sequences and integrating the map with existing general purpose analytical tools. The NCBI data model was designed to provide a high degree of interconnectedness amongst data objects. Substantial and continuous increase in data volume has led to a large and highly connected information space. Researchers seeking to explore this space are challenged to identify a starting point. They often choose data that is popular in the literature. Reference in the literature follow a power law distribution and popular data points may bias explorers toward paths that lead only to a dead-end of what is already known. To help discover the unexpected we developed an interactive visual analytics system to map the information space of influenza protein sequence data. The design is motivated by the needs of eScience researchers.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2011
Publication statusPublished - 2011
EventVisualization and Data Analysis 2011 - San Francisco, CA, United States
Duration: 2011 Jan 242011 Jan 25

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherVisualization and Data Analysis 2011
Country/TerritoryUnited States
CitySan Francisco, CA

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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