Searching for genetic circuits : 2 results found | RSS Feed for this search

7.349 Biological Computing: At the Crossroads of Engineering and Science (MIT) 7.349 Biological Computing: At the Crossroads of Engineering and Science (MIT)

Description

Imagine you are a salesman needing to visit 100 cities connected by a set of roads. Can you do it while stopping in each city only once? Even a supercomputer working at 1 trillion operations per second would take longer than the age of the universe to find a solution when considering each possibility in turn. In 1994, Leonard Adleman published a paper in which he described a solution, using the tools of molecular biology, for a smaller 7-city example of this problem. His paper generated enormous scientific and public interest, and kick-started the field of Biological Computing, the main subject of this discussion based seminar course. Students will analyze the Adleman paper, and the papers that preceded and followed it, with an eye for identifying the engineering and scientific aspects of Imagine you are a salesman needing to visit 100 cities connected by a set of roads. Can you do it while stopping in each city only once? Even a supercomputer working at 1 trillion operations per second would take longer than the age of the universe to find a solution when considering each possibility in turn. In 1994, Leonard Adleman published a paper in which he described a solution, using the tools of molecular biology, for a smaller 7-city example of this problem. His paper generated enormous scientific and public interest, and kick-started the field of Biological Computing, the main subject of this discussion based seminar course. Students will analyze the Adleman paper, and the papers that preceded and followed it, with an eye for identifying the engineering and scientific aspects of

Subjects

biological computing | biological computing | Leonard Adleman | Leonard Adleman | exquisite detection | exquisite detection | whole-cell computing | whole-cell computing | computation | computation | molecular biology | molecular biology | biotin-avidin | biotin-avidin | magnetic beads | magnetic beads | cellular processes | cellular processes | combinatorial problems | combinatorial problems | self-assembly | self-assembly | nanodevices | nanodevices | molecular machines | molecular machines | quorum sensing | quorum sensing | molecular switches | molecular switches | ciliates | ciliates | molecular gates | molecular gates | molecular circuits | molecular circuits | genetic switch | genetic switch | cellular networks | cellular networks | genetic networks | genetic networks | genetic circuits | genetic circuits

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

Site sourced from

http://ocw.mit.edu/rss/all/mit-allcourses-7.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata

7.349 Biological Computing: At the Crossroads of Engineering and Science (MIT)

Description

Imagine you are a salesman needing to visit 100 cities connected by a set of roads. Can you do it while stopping in each city only once? Even a supercomputer working at 1 trillion operations per second would take longer than the age of the universe to find a solution when considering each possibility in turn. In 1994, Leonard Adleman published a paper in which he described a solution, using the tools of molecular biology, for a smaller 7-city example of this problem. His paper generated enormous scientific and public interest, and kick-started the field of Biological Computing, the main subject of this discussion based seminar course. Students will analyze the Adleman paper, and the papers that preceded and followed it, with an eye for identifying the engineering and scientific aspects of

Subjects

biological computing | Leonard Adleman | exquisite detection | whole-cell computing | computation | molecular biology | biotin-avidin | magnetic beads | cellular processes | combinatorial problems | self-assembly | nanodevices | molecular machines | quorum sensing | molecular switches | ciliates | molecular gates | molecular circuits | genetic switch | cellular networks | genetic networks | genetic circuits

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htm

Site sourced from

https://ocw.mit.edu/rss/all/mit-alllifesciencescourses.xml

Attribution

Click to get HTML | Click to get attribution | Click to get URL

All metadata

See all metadata