QTLTableMiner++: semantic mining of QTL tables in scientific articles

QTLTableMiner++:科学文章中QTL表的语义挖掘

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作者:Gurnoor Singh, Arnold Kuzniar, Erik M van Mulligen, Anand Gavai, Christian W Bachem, Richard G F Visser, Richard Finkers

Background

A quantitative trait locus (QTL) is a genomic region that correlates with a phenotype. Most of the experimental information about QTL mapping studies is described in tables of scientific publications. Traditional text mining techniques

Conclusion

QTM is a unique tool that aids in providing QTL information in machine-readable and semantically interoperable formats.

Results

The performance of the QTM tool was assessed by precision and recall based on the information retrieved from two manually annotated corpora of open access articles, i.e. QTL mapping studies in tomato (Solanum lycopersicum) and in potato (S. tuberosum). In summary, QTM detected QTL statements in tomato with 74.53% precision and 92.56% recall and in potato with 82.82% precision and 98.94% recall.

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