TY - GEN
T1 - BioLinker
T2 - 10th IEEE Pacific Visualization Symposium, PacificVis 2017
AU - Dang, Tommy
AU - Murray, Paul
AU - Forbes, Angus
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/11
Y1 - 2017/9/11
N2 - Systems biologists and cancer researchers require interactive visualization tools that enable them to more easily navigate and discover patterns at different levels of the biological hierarchy of signaling pathways. Furthermore, biologists are often interested in understanding and exploring the causal biochemical links between processes. When exploring the literature of particular biological pathways or specific proteins within those pathways, biologists find it useful to know the contexts in which biochemical links are active and, importantly, to be aware of potential conflicts when different experiments introduce alternative interpretations of the function of a pathway or biochemical reaction. We introduce BioLinker, a interactive visualization system that helps users to perform bottom-up exploration of complex protein interaction networks. Five interconnected views provide the user with a range of ways to explore pathway data, including views that show potential conflicts within pathway databases and publications and that highlight contextual information about individual proteins. Additionally, we discuss system details to show how our system manages the large amount of protein interactions extracted from the literature of biological pathways.
AB - Systems biologists and cancer researchers require interactive visualization tools that enable them to more easily navigate and discover patterns at different levels of the biological hierarchy of signaling pathways. Furthermore, biologists are often interested in understanding and exploring the causal biochemical links between processes. When exploring the literature of particular biological pathways or specific proteins within those pathways, biologists find it useful to know the contexts in which biochemical links are active and, importantly, to be aware of potential conflicts when different experiments introduce alternative interpretations of the function of a pathway or biochemical reaction. We introduce BioLinker, a interactive visualization system that helps users to perform bottom-up exploration of complex protein interaction networks. Five interconnected views provide the user with a range of ways to explore pathway data, including views that show potential conflicts within pathway databases and publications and that highlight contextual information about individual proteins. Additionally, we discuss system details to show how our system manages the large amount of protein interactions extracted from the literature of biological pathways.
KW - Dynamic network visualization
KW - Potential conflict matrix
KW - Protein interaction network
UR - http://www.scopus.com/inward/record.url?scp=85031998623&partnerID=8YFLogxK
U2 - 10.1109/PACIFICVIS.2017.8031603
DO - 10.1109/PACIFICVIS.2017.8031603
M3 - Conference contribution
AN - SCOPUS:85031998623
T3 - IEEE Pacific Visualization Symposium
SP - 265
EP - 269
BT - 2017 IEEE Pacific Visualization Symposium, PacificVis 2017 - Proceedings
A2 - Wu, Yingcai
A2 - Weiskopf, Daniel
A2 - Dwyer, Tim
PB - IEEE Computer Society
Y2 - 18 April 2017 through 21 April 2017
ER -