<p>False negative calls are the number of unique events from the curation set that was missed by each tool. Overlaps in the Venn diagram show the number of variants that were missed by multiple tools. False positive calls are the number of predictions from <i>M. tuberculosis</i> F11 that were not supported by the curation set. Overlaps indicate predictions that were shared among tools.</p
<p>Venn diagram of overlapping SNPs identified as under selection, with F<sub>ST</sub>, FLK and hapF...
<p>Venn diagram representing the relationships among SNPs called using GATK and SAMtools, and the Ha...
<p>The union of variant calls for each tool was calculated and false positive and false negative rat...
<p>For AMPLI1, Picoplex and Repli-G the value was 18%, 11% and 3% respectively.</p
<p>We display the sizes of each of the seven categories of overlaps among the variant calls in the t...
<p>A Venn diagram depicts the number of variants after bioinformatics filtering to identify nonsynon...
Venn diagrams showing the total numbers of identified variants using two read mappers (BWA [29], Bow...
Venn diagrams showing the intersection of variants called among replicate runs using BWA-MEM2+Dragen...
Venn diagram depicting the number of variants contributed from each of the data sources.</p
<p>Venn diagrams comparing the distribution of positive and negative results by each diagnostic meth...
<p>A) Venn diagram illustrating the distribution of SNVs for patient 140. Unique variants found by W...
<p>Variants are divided by type across the rows. Missed variants are those that were annotated in th...
<p>(A) Results from active and passive screening combined (N = 1,768 false positives); (B) results f...
<p>The similar and non-similar boxes overlap. In this case, there are false-positive and false-negat...
Additional file 3: Figure S1. The number of SNVs called by each tool at each cellularity in Phase 1 ...
<p>Venn diagram of overlapping SNPs identified as under selection, with F<sub>ST</sub>, FLK and hapF...
<p>Venn diagram representing the relationships among SNPs called using GATK and SAMtools, and the Ha...
<p>The union of variant calls for each tool was calculated and false positive and false negative rat...
<p>For AMPLI1, Picoplex and Repli-G the value was 18%, 11% and 3% respectively.</p
<p>We display the sizes of each of the seven categories of overlaps among the variant calls in the t...
<p>A Venn diagram depicts the number of variants after bioinformatics filtering to identify nonsynon...
Venn diagrams showing the total numbers of identified variants using two read mappers (BWA [29], Bow...
Venn diagrams showing the intersection of variants called among replicate runs using BWA-MEM2+Dragen...
Venn diagram depicting the number of variants contributed from each of the data sources.</p
<p>Venn diagrams comparing the distribution of positive and negative results by each diagnostic meth...
<p>A) Venn diagram illustrating the distribution of SNVs for patient 140. Unique variants found by W...
<p>Variants are divided by type across the rows. Missed variants are those that were annotated in th...
<p>(A) Results from active and passive screening combined (N = 1,768 false positives); (B) results f...
<p>The similar and non-similar boxes overlap. In this case, there are false-positive and false-negat...
Additional file 3: Figure S1. The number of SNVs called by each tool at each cellularity in Phase 1 ...
<p>Venn diagram of overlapping SNPs identified as under selection, with F<sub>ST</sub>, FLK and hapF...
<p>Venn diagram representing the relationships among SNPs called using GATK and SAMtools, and the Ha...
<p>The union of variant calls for each tool was calculated and false positive and false negative rat...