Team:Johns Hopkins-Software/Target Use Implications

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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 generating an interactive visualization of the annotated plasmid.
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Autogene is intended to be used as a powerful research and design tool with an intuitive interface and sophisticated functionality. For any scientist interested in plasmid design, software integration with the cloud allows for both high accuracy and high speed performance. Pathogen detection prevents unintended and malevolent consequences of improperly designed possibilities. Executed with a simplicity and elegance to ensure a quality user experience. In application, a computer scientist may have to process a sequence without any knowledge of its contents, and we hope that this tool will help to bridge the gap between the computer science, and the biological science portions of bioinformatics by quickly providing feature annotations that previously could only be identified by a trained eye.
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Implications </div>
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Implications & Vision</div>
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Autogene is still evolving as we advance on the design module, and fine tune the plasmid mapper. There are several features we’d like to develop in the future, including a 3D protein visualization, codon optimization, and primer design. We strive to achieve a comprehensive philosophy of Scan/Edit/Print. From the annotation of the starting sequence, to the gathering and arranging of desired features, to the development of building blocks to actually synthesize the given sequence, everything can be done through Autogene.
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The first module--Autogene’s plasmid mapper--is intended for scientists investigating unknown sequences. It’s annotation capabilities are meant to quickly identify the contents of a plasmid, allowing the scientist to quickly and easily begin the next stage of their research. Autoplasmid can also be used to provide biological imformation to engineers. A computer scientist may have to process a sequence without any knowledge of its contents, and we hope that this tool will help to bridge the gap between the computer science, and the biological science portions of bio informatics by quickly providing feature annotations that previously could only be identified by a trained eye.
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In some ways, Autogene is the first tool of its kind, and we hope that its development will demonstrate the potential of many new techniques and technologies when applied to synthetic biology. By exporting our alignments to the cloud, we’ve shown that complex computation, the kind that before could only be performed on very high-powered computers, can be accessed by anyone with an internet connection. An increase in computational power for every researcher across the board could revolutionize synthetic biology, and scientific research in general.
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Latest revision as of 05:27, 1 October 2012

Target Uses


Autogene is intended to be used as a powerful research and design tool with an intuitive interface and sophisticated functionality. For any scientist interested in plasmid design, software integration with the cloud allows for both high accuracy and high speed performance. Pathogen detection prevents unintended and malevolent consequences of improperly designed possibilities. Executed with a simplicity and elegance to ensure a quality user experience. In application, a computer scientist may have to process a sequence without any knowledge of its contents, and we hope that this tool will help to bridge the gap between the computer science, and the biological science portions of bioinformatics by quickly providing feature annotations that previously could only be identified by a trained eye.


Implications & Vision


Autogene is still evolving as we advance on the design module, and fine tune the plasmid mapper. There are several features we’d like to develop in the future, including a 3D protein visualization, codon optimization, and primer design. We strive to achieve a comprehensive philosophy of Scan/Edit/Print. From the annotation of the starting sequence, to the gathering and arranging of desired features, to the development of building blocks to actually synthesize the given sequence, everything can be done through Autogene.

In some ways, Autogene is the first tool of its kind, and we hope that its development will demonstrate the potential of many new techniques and technologies when applied to synthetic biology. By exporting our alignments to the cloud, we’ve shown that complex computation, the kind that before could only be performed on very high-powered computers, can be accessed by anyone with an internet connection. An increase in computational power for every researcher across the board could revolutionize synthetic biology, and scientific research in general.
Autogene

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