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Key statistical and multiple testing correction methods used by each tool are shown in Table S8.
The ten most common motifs found by each tool are presented.
As each fusion detection tool has a specific combination of alignment and filtering approaches, results produced by each tool are only partially comparable with the others' (Carrara et al., 2013a, b).
5 9 15 This approach raises questions about the construct validity of the mood instability measure since it is not certain that the examples identified by each tool are clinically or phenomenologically equivalent.
We compute block similarity based on marker content: the markers of an SBF as generated by each tool are viewed as a single set and we compute the ratio between the overlap of two such sets relative to each of the sets, thereby yielding an asymmetric measure and six comparisons among the three tools.
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The entities tagged by each tool were then filtered through the post-processing step described in Methods for CheNER.
Preliminary assembled contigs by each tool were blasted against NCBI non-redundant protein database.
Moreover, the analysis time required by the each tool was also varied, because analysis depends on the number of running job in server and length of input sequences (Table 2).
Each tool was reviewed by one reviewer.
Each tool was assessed by means of criteria that highlight the multidimensionality of the distribution of health among population subgroups.
The sensitivity of deletion calling for each tool was confirmed by comparing to multiple datasets from the literature (Mills [ 25], Conrad [ 23], and Kidd [ 24]).
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com