Conference proceeding
Data repository mapping for influenza protein sequence analysis
Proceedings of SPIE, v 7868(1), pp 786804-7868012
24 Jan 2011
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
Metrics
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1 citations in Scopus
Details
- Title
- Data repository mapping for influenza protein sequence analysis
- Creators
- Donald Pellegrino - Drexel Univ. (United States)Chaomei Chen - Drexel Univ. (United States)
- Publication Details
- Proceedings of SPIE, v 7868(1), pp 786804-7868012
- Conference
- Visualization and Data Analysis 2011 (2011)
- Publisher
- Society of Photo-Optical Instrumentation Engineers (SPIE)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000293625900003
- Scopus ID
- 2-s2.0-79951873752
- Other Identifier
- 991014877905204721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Imaging Science & Photographic Technology
- Optics