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To identify the HBV integration sites based on exome-sequencing data, we constructed an HBV virus genome library.

Using high resolution (0.3 × 0.3 × 0.8 mm) ex vivo data, we constructed a precise fully subject-specific biventricular finite-element model of healthy and failing swine hearts.

Using their MRI and DTI data, we constructed a structural connectivity network for each of the above 134 participants.

For each study's data, we constructed sets of x y ordered pairs representing a given percentage of people (x) and their associated percentage of crime (y).

On the basis of the interferogram data, we constructed a fault model under an assumption of a rectangular fault with a uniform slip in elastic half-space (Okada, 1992).

Combining the structural and biochemical data, we constructed a Dpy30-Ash2L comodel model using the structures of the holo-Dpy30FL tetramer presented here and the SPRY dimer reported previously (3TOJ).

Next, on the basis of the mean expression value data, we constructed a Venn diagram for affiliation analysis (Figure 2A).

To derive further biological insights from our data, we constructed an integrated network of proteins involved in DNA metabolism.

For transcontinental strain comparison, using the GACK transformed data; we constructed an hierarchical clustering (HCL) support tree (Figure 2).

Based on the 16S rRNA gene data we constructed quantitative PCR's (Q-PCR) for the seven most dominating bacterial groups.

To create significance out of otherwise static proteomic data, we constructed an interaction networking of the DEPPs (Fig. 3B).

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