Ab-origin: A Tool for Identifying Gene Segments in Antibodies
Author Information
Author(s): Wang Xiaojing, Wu Di, Zheng Siyuan, Sun Jing, Tao Lin, Li Yixue, Cao Zhiwei
Primary Institution: Bioinformatics Center, Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences
Hypothesis
Can an enhanced tool improve the identification of sourcing gene segments in rearranged antibodies?
Conclusion
Ab-origin outperformed five other popular tools in predicting the sourcing gene segments of antibodies.
Supporting Evidence
- Ab-origin showed significantly higher accuracy in identifying IGHV, IGHD, and IGHJ segments compared to other tools.
- The tool provides a confidence score for IGHD identification.
- The study used both simulated and experimental data to validate the tool's performance.
Takeaway
The study created a new tool called Ab-origin that helps scientists find the original gene segments in antibodies, making it easier to understand how antibodies work.
Methodology
The tool uses a batch query against germline databases with an optimized scoring scheme to improve identification accuracy.
Limitations
The tool may not perform well with allelic exclusion or isotopic exclusion cases.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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