Team:Johns Hopkins-Software

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Revision as of 23:08, 2 October 2012



AutoGene is an all-encompassing plasmid design suite meant to streamline the process of both annotating and building sequences. Consisting of two modules -- AutoPlasmid and AutoDesign -- it first uses a highly curated database of features to search an imported plasmid, scanning the sequence for both perfect and imperfect alignments, and then generating an interactive visualization of the annotated plasmid. Once a plasmid is annotated, a user is then able to alter its contents, using the AutoGene feature database, the biobrick database, as well as custom components. The design module enables structural optimization by maintaining sets of sequence rules and taking an algorithmic approach to minimizing structural violations. Additionally the program reduces the problems caused by restriction sites during application of designs, and proposes the most suitable enzyme selections through an analysis of standard restriction sites libraries.

The processes will be run on the cloud as a standard web server gateway interface service to dramatically increasing its speed and accessibility while maintaining the same level of accuracy. As a cloud service, it will run its algorithms in parallel and thus have the ability to perform more computationally intense procedures, such as optimizing codons to increase gene expression, and designing the most efficient oligonucleotide sequences for PCR assembly.

Furthermore, AutoGene has the potential for integrating fabrication or design software in the future. 3D visualization techniques could provide users with views of protein structures created from the sequences or that of a related ortholog. The process for fabrication of synthetic DNA sequences could be automated through building block design, helping the the user to assemble their oligonucleotides. A number of additional features, such as evaluating overlapping segments of oligonucleotides, and evaluating melting temperatures for PCR assembly, may also be built on top of this project.

Using a clear user interface, a large, highly curated feature database, and through harnessing the power of cloud computing, we hope to simplify the process of plasmid design. AutoGene aims to make it faster and easier for a user to both identify and modify the contents of any plasmid, enhancing sequences for greater viability and expression.
Autogene

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