<p>The different colored circles denote different prediction tools: PROSPER, red; PoPS, blue; SitePrediction, green. The sum of the numbers in each color represents the number of known cleavage sites that were correctly predicted by the tool. The number in each overlapping region represents the number of known cleavage sites that were correctly predicted by two or all tools. For example, for MMP-2, 276 sites were correctly predicted by PROSPER and by no other tool, 78 were correctly predicted by PROSPER and SitePrediction, 24 by PROSPER and PoPS and 193 by all three tools. The number in the inner circle “Overall” represents the total number of correctly predicted known cleavage sites by the corresponding tool.</p
Venn diagram depicting the number of variants contributed from each of the data sources.</p
<p><b>A–D</b>) Venn diagrams show overlap between binding regions identified and/or categorized in d...
<p>Venn diagram of the four datasets: MitoCom (high-confidence), MitoCom (middle-confidence), MitoCa...
<p>Panel A shows the overlapping predictions by three different features (Dscore, Closeness and MEsc...
<p>(A) The diagram to the left shows the number of predicted protein coding genes that share stop si...
<p>Venn diagrams of the predictions of the three programs using a log fold-change of 1 and a rank cu...
<p><b>Copyright information:</b></p><p>Taken from "Predicting active site residue annotations in the...
Venn diagram showing the distribution of the number of putative milRNA targets predicted by miRanda,...
<p>Each Venn diagram shows the number of detected regions by CMT, MACS and T-PIC in each dataset alo...
<p><b>Copyright information:</b></p><p>Taken from "Predicting active site residue annotations in the...
<p>Venn diagram demonstrating 107 putative target genes appeared in all three prediction data set.</...
<p>The number marked in the overlapping areas indicates the common miRNAs. (A) Number of known miRNA...
Venn diagrams showing the total numbers of identified variants using two read mappers (BWA [29], Bow...
a<p>“-” denotes that the prediction result at this specificity level is not available by this tool.<...
<p>There are two sections: the first section is the primary sequence information of the submitted se...
Venn diagram depicting the number of variants contributed from each of the data sources.</p
<p><b>A–D</b>) Venn diagrams show overlap between binding regions identified and/or categorized in d...
<p>Venn diagram of the four datasets: MitoCom (high-confidence), MitoCom (middle-confidence), MitoCa...
<p>Panel A shows the overlapping predictions by three different features (Dscore, Closeness and MEsc...
<p>(A) The diagram to the left shows the number of predicted protein coding genes that share stop si...
<p>Venn diagrams of the predictions of the three programs using a log fold-change of 1 and a rank cu...
<p><b>Copyright information:</b></p><p>Taken from "Predicting active site residue annotations in the...
Venn diagram showing the distribution of the number of putative milRNA targets predicted by miRanda,...
<p>Each Venn diagram shows the number of detected regions by CMT, MACS and T-PIC in each dataset alo...
<p><b>Copyright information:</b></p><p>Taken from "Predicting active site residue annotations in the...
<p>Venn diagram demonstrating 107 putative target genes appeared in all three prediction data set.</...
<p>The number marked in the overlapping areas indicates the common miRNAs. (A) Number of known miRNA...
Venn diagrams showing the total numbers of identified variants using two read mappers (BWA [29], Bow...
a<p>“-” denotes that the prediction result at this specificity level is not available by this tool.<...
<p>There are two sections: the first section is the primary sequence information of the submitted se...
Venn diagram depicting the number of variants contributed from each of the data sources.</p
<p><b>A–D</b>) Venn diagrams show overlap between binding regions identified and/or categorized in d...
<p>Venn diagram of the four datasets: MitoCom (high-confidence), MitoCom (middle-confidence), MitoCa...