Endy:Research

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(Genetic Memory)
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(Genetic Data Storage)
 
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===Genetic Memory===
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===Genetic Data Storage===
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The immediate goal of our research is to enable the engineering of genetically encoded memory systems.  Modest amounts of programmable memory, if implemented within living cells, would have a profound impact on the study and treatment of many diseases, and would broadly enable many non-medical applications of biotechnology.  We are interested in both the basic and applied aspects of the problem, from considering how to best store information inside cells to practical applications.
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We are focused on the development of engineered DNA systems that are capable of data storage inside living cells.  Our [http://blogs.scientificamerican.com/observations/2012/05/21/scientists-engineer-rewriteable-digital-data-storage-in-the-dna-of-living-bacteria/ recent work] has focused on non-volatile recombinase addressable data (RAD) storage engineered from serine recombinases that target reversibly-invertible chromosomal data registers.  We are interested in scaling genetically-encoded data systems from from a few bits to a few bytes.
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==Synthetic Biology==
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===Engineering Biology===
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Our overall long term goal is to help make biology easy to engineer, an area of research known as synthetic biology.
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Our overall long term goal is to help make biology easy to engineer, an area of research sometimes known as synthetic biology.  In particular, we adapt ideas from metrology that help enable the distributed measurement and representation of in vivo molecular activities.  We also develop genetic layout architectures that help establish reliably reusable standard biological parts supporting abstraction of biological functions.
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===Research Background & Context, Additional Materials===
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The many and diverse dissertations from past students in the lab, their peer-reviewed published articles, and our written perspectives and other published projects are all [[Endy:Reprints | freely available online]].  We hope that students who are interested in exploring and taking forward their own research projects in the lab will be informed and inspired by the curiosity and independence of past student's work.  We hope that others who are interested in understanding, contributing to, or constructively criticizing the lab's work make full use of our published record.

Current revision

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Genetic Data Storage

We are focused on the development of engineered DNA systems that are capable of data storage inside living cells. Our recent work has focused on non-volatile recombinase addressable data (RAD) storage engineered from serine recombinases that target reversibly-invertible chromosomal data registers. We are interested in scaling genetically-encoded data systems from from a few bits to a few bytes.

Engineering Biology

Our overall long term goal is to help make biology easy to engineer, an area of research sometimes known as synthetic biology. In particular, we adapt ideas from metrology that help enable the distributed measurement and representation of in vivo molecular activities. We also develop genetic layout architectures that help establish reliably reusable standard biological parts supporting abstraction of biological functions.

Research Background & Context, Additional Materials

The many and diverse dissertations from past students in the lab, their peer-reviewed published articles, and our written perspectives and other published projects are all freely available online. We hope that students who are interested in exploring and taking forward their own research projects in the lab will be informed and inspired by the curiosity and independence of past student's work. We hope that others who are interested in understanding, contributing to, or constructively criticizing the lab's work make full use of our published record.

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