Team:Paris Liliane Bettencourt

From 2010.igem.org

(Difference between revisions)
m
Line 16: Line 16:
<div id="right">
<div id="right">
-
<OBJECT classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000"
+
<!-- <OBJECT classid="clsid:D27CDB6E-AE6D-11cf-96B8-444553540000"
  codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=5,0,0,0"
  codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=5,0,0,0"
  WIDTH=130 HEIGHT=336>
  WIDTH=130 HEIGHT=336>
Line 43: Line 43:
</div>
</div>
-
</div>
+
</div> -->
</html>
</html>

Revision as of 14:46, 19 October 2010


Abstract


Counting is the action of finding the number of elements in a set. Past attempts at developing counters in cells have mostly attempted to mimic the binary methods that computers use to count.
Our first counter takes a new approach to counting in cells, essentially a mechanical rotary counter implemented on a micro scale. Each time the counter detects an input, it performs an excision and integration directly down-stream of the active site, turning on a reporter and rotating over one "notch" on the counter.
Our second counter operates on the wholly different principle that the statistical occurrence of a rare event in a large population can be modeled. Each cell in our population harbors a construct that when stimulated has a small chance of excising a terminator and expressing a resistance gene. The number of resistant cells is thus an accurate count of the number of input stimuli.

-->