Data repository mapping for influenza protein sequence analysis

Donald Pellegrino; Chaomei Chen

doi:10.1117/12.872266

24 January 2011 Data repository mapping for influenza protein sequence analysis

Donald Pellegrino, Chaomei Chen

Proceedings Volume 7868, Visualization and Data Analysis 2011; 786804 (2011) https://doi.org/10.1117/12.872266
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

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.

Citation Download Citation

Donald Pellegrino and Chaomei Chen "Data repository mapping for influenza protein sequence analysis", Proc. SPIE 7868, Visualization and Data Analysis 2011, 786804 (24 January 2011); https://doi.org/10.1117/12.872266

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