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We used MEGA6 (Tamura et al. 2013) to select the best DNA model using a maximum-likelihood (ML) method.
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The DNA model used in this study includes a template overhang sequence consisting of three bases.
If you want to make a more aesthetically pleasing and sturdier DNA model, use your soldering iron to weld the small pieces of wire to the long double helix strand.
In order to facilitate the rational design and the characterization of these devices, a DNA sensor model using particle swarm optimization theory developed and applied for detection of DNA hybridization.
In this activity, students had to build a DNA transcription model using pop beads and to fill out a worksheet.
Thus, the balance of neutralizing and enhancing activities induced by a dengue tetravalent vaccine was analyzed in this study in a DNA vaccine model using mice.
The likelihood of each topology was obtained under the general time reversible DNA substitution model using PhyML (Guindon and Gascuel 2003).
Here, we present an extension of mapDamage, which implements a fast approximation of the DNA damage model using a Bayesian framework.
For the unpartitioned ML analysis of the DNA sequence data, we used jModeltest 2.1.3 (Guindon and Gascuel 2003; Darriba et al. 2012) to find the optimal DNA substitution model using the Bayesian Information Criterion, BIC (Schwarz 1978).
To address this issue, we examined the global DNA methylation profile in the well-established Apcmin/+ intestinal tumorigenesis mouse model using methylated DNA immunoprecipitation (MeDIP) and next-generation sequencing (MeDIP-seq).
In a mouse model using a DNA vaccine encoding the nucleoprotein (NP) of influenza H1N1, the resulting trend of antibody responses was similar to that detected in guinea pig study.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com