Data repository mapping for influenza protein sequence analysis

Donald Pellegrino; Chaomei Chen

doi:10.1117/12.872266

Data repository mapping for influenza protein sequence analysis

Donald Pellegrino, Chaomei Chen

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2011
DOIs	https://doi.org/10.1117/12.872266
Publication status	Published - 2011
Event	Visualization and Data Analysis 2011 - San Francisco, CA, United States Duration: 2011 Jan 24 → 2011 Jan 25

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7868
ISSN (Print)	0277-786X

Other

Other	Visualization and Data Analysis 2011
Country	United States
City	San Francisco, CA
Period	11/1/24 → 11/1/25

All Science Journal Classification (ASJC) codes

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

Access to Document

10.1117/12.872266

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Cite this

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title = "Data repository mapping for influenza protein sequence analysis",

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.",

author = "Donald Pellegrino and Chaomei Chen",

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Pellegrino, D & Chen, C 2011, Data repository mapping for influenza protein sequence analysis. in Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2011., 786804, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7868, Visualization and Data Analysis 2011, San Francisco, CA, United States, 11/1/24. https://doi.org/10.1117/12.872266

Data repository mapping for influenza protein sequence analysis. / Pellegrino, Donald; Chen, Chaomei.

Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2011. 2011. 786804 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7868).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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