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 | |
| Publication status | Published - 2011 Feb 28 |
| 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 |
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All Science Journal Classification (ASJC) codes
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
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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
TY - GEN
T1 - Data repository mapping for influenza protein sequence analysis
AU - Pellegrino, Donald
AU - Chen, Chaomei
PY - 2011/2/28
Y1 - 2011/2/28
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=79951873752&partnerID=8YFLogxK
U2 - 10.1117/12.872266
DO - 10.1117/12.872266
M3 - Conference contribution
SN - 9780819484055
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Proceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2011
ER -