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 DNA Software > Products > OMP Developer Edition > Advantages

OMP Developer Edition Advantages

OMP Developer Edition is the prefered software for high throughput DNA & RNA analysis and design. These advantages include:

  1. Accuracy: At the core of OMP Developer Edition is the OMP (Oligonucleotide Modeling Platform) engine, which is based on state-of-the-art scientific research headed by nucleic acids thermodynamics expert, Dr. John SantaLucia. Derived parameters are applied to secondary structure simulation and primer/probe design to give you the most accurate results.
  2. Scriptability: OMP Developer Edition is based on easy to use Boulder I/O text files, meaning that researchers can easily script using any common programming language such as C/C++, Java, Perl, Visual Basic and others. OMP Developer Edition was specifically created to easily incorporate itself into your current programs or scripts, saving time and avoiding the need to learn new languages.
  3. Customizability: Whether you need to fold one probe or a million, OMP Developer Edition can be programmed with as much complexity as is necessary to get the job done. With true scalability, researchers finally have the ability to look at a single secondary structure, or program OMP Developer to analyze an entire database.
  4. Multiplex capability: OMP picks primers and probes which do not cross hybridize with each other and other targets, saving time, resources, and costs related with repeated optimizations.
  5. Measures Binding Efficiencies: Simulation Module simulates all secondary structures for target (optimal and suboptimal), primers (optimal and suboptimal), homodimers, target and primer heterodimers, given specified conditions. Values for Tm, dG, percent bound, and concentration for all species are presented. Most important to the bench science, OMP predicts the binding efficiency between primer/probe with target in a single or multiplex assay.
  6. Versatile applications: Users may use OMP for ANY assay involved with nucleic acid hybridization. RNA, DNA, single or multiple probe design, microarrays, TaqMan assays, genotyping, single and multiplex PCR, secondary structure simulation, sequencing, genotyping.

 

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