Tool Mutation Gene Disease Precision Recall Ref
MutationFinder + - - 97.5% 80.7% [10]
BANNER + + + 85.09% 79.06% [25]
ABNER + + + Depends Depends [26]
ProMiner - + - 82.53% 82.93% [27]
GNAT - + - 90.1% 81.1% [8]
Moara - + - GNAT GNAT [28]
NameTagger - + - Unknown Unknown [9]
OSIRISv1.2 + + - 99% 82% [29]
Extraction of Gene-Disease relations - + + 78.5% Unknown [23]
SNPshot + + + 96.0% 88.7% [30]
EMU + + (+) 60% Unknown [4]
The table shows the name of each tool or algorithm, which of the three types of named entities can be extracted, their respective precision and recall values (if mentioned by the authors) and the reference to the original publication.
Table 2: Overview over text-mining algorithms reviewed for this study.