Refactoring Bacteriophage T7 (2004 version)
This document is an prior version of the manuscript 'Refactoring Bacteriophage T7' that is now published in Nature/EMBO Molecular Systems Biology (DOI: 10.1038/msb4100025). This DSpace manuscript is more concise but provides less context than the MSB manuscript.
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Format: | Article |
Language: | en_US |
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2005
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Online Access: | http://hdl.handle.net/1721.1/27501 |
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author | Chan, Leon Kosuri, Sriram Endy, Drew |
author_facet | Chan, Leon Kosuri, Sriram Endy, Drew |
author_sort | Chan, Leon |
collection | MIT |
description | This document is an prior version of the manuscript 'Refactoring Bacteriophage T7' that is now published in Nature/EMBO Molecular Systems Biology (DOI: 10.1038/msb4100025). This DSpace manuscript is more concise but provides less context than the MSB manuscript. |
first_indexed | 2024-09-23T16:48:31Z |
format | Article |
id | mit-1721.1/27501 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T16:48:31Z |
publishDate | 2005 |
record_format | dspace |
spelling | mit-1721.1/275012019-04-12T07:26:08Z Refactoring Bacteriophage T7 (2004 version) Chan, Leon Kosuri, Sriram Endy, Drew refactor synthetic biology This document is an prior version of the manuscript 'Refactoring Bacteriophage T7' that is now published in Nature/EMBO Molecular Systems Biology (DOI: 10.1038/msb4100025). This DSpace manuscript is more concise but provides less context than the MSB manuscript. Natural biological systems are selected by evolution to continue to exist. Evolution might give rise to complicated systems that are difficult to discover, measure, model, and direct. Here, we redesign the genome of a natural biological system, bacteriophage T7, in order to specify an engineered alternative that is easier to study, understand, and extend. We replaced the left 11,515 base pairs of the wild-type genome with 12,179 base pairs of redesigned DNA. The resulting chimeric genome encodes a viable bacteriophage that maintains key features of the original while being simpler to model and easier to manipulate. 2005-09-17T20:47:50Z 2005-09-17T20:47:50Z 2004-10 Article http://hdl.handle.net/1721.1/27501 en_US 4909568 bytes application/pdf application/pdf |
spellingShingle | refactor synthetic biology Chan, Leon Kosuri, Sriram Endy, Drew Refactoring Bacteriophage T7 (2004 version) |
title | Refactoring Bacteriophage T7 (2004 version) |
title_full | Refactoring Bacteriophage T7 (2004 version) |
title_fullStr | Refactoring Bacteriophage T7 (2004 version) |
title_full_unstemmed | Refactoring Bacteriophage T7 (2004 version) |
title_short | Refactoring Bacteriophage T7 (2004 version) |
title_sort | refactoring bacteriophage t7 2004 version |
topic | refactor synthetic biology |
url | http://hdl.handle.net/1721.1/27501 |
work_keys_str_mv | AT chanleon refactoringbacteriophaget72004version AT kosurisriram refactoringbacteriophaget72004version AT endydrew refactoringbacteriophaget72004version |