Serology data analysis
Example 1: Serology data from WHO Annual report 2006
Example 2: 1968-1997 Serology data from AJ Hay et al. (2001)
Example 3: Combined serology data.
Sequence data analysis
Example 4: Sequence data extracted from DJ Smith et al. (2004)

Example 1


Input Data:

Serology data from WHO Annual report 2006 , contains both one way and two way data.


Each row of the upper chart presents the antigenic coverage of one vaccine strain candidate, and the lower chart presents the antigenic uniqueness.
In the upper chart, it clearly shows that A/BRISBANE/9/2006 is a vaccine strain candidate, of which the induced antiserum can theoretically protect human from 95% antigens on this input data list.
In the lower chart, we can see that 64% of antigens can only be protected by A/BRISBANE/9/2006, whereas 32% of antigens can also be protected by more than one antiserum.

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Example 2


Input Data: Two-way serology data (1968-1997) from AJ Hay et al.


Through this website, serology data can be visualized easily. This map shows a clear moving route of antigens in these 30 years.

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Example 3


Input Data:

Cross year (1989-2004) two way serology data (HI Titers), merged from 5 different experimental results.




To generate a full two way serology experimental data over years is costly. Merging data from several labs may lead to a sensible antigenic map.

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Example 4


Input Data:
Sequences of specific sites from DJ Smith et al.(Science 2004)


This figure shows the robustness of our prediction algorithm. With the visualization algorithm, we produce a similar result as shown in DJ Smith 2004. We note that, our results come from sequence based prediction, not from experimental HI titer data.

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Division of Biostatistics and Bioinformatics
National Health Research Institutes, Zhunan, Taiwan
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Last Updated: 2009/04/08