The process allows researchers to pool dozens of samples and assign the pool—rather than individual samples—with a bar-code identifier. After the sequencing machine returns results from a whole pool, a decoder program can use the theorem to work backward and locate a particular specimen. To find a mutation in a cystic fibrosis study, for example, the decoding program would use each pool's results as the constraints to pinpoint the location of the mutated specimen.
"Think about Sudoku as a pooling theory," he says. "You have a constraint in a row and column [to] have all nine digits. We have the same thing—maybe not as neat—but we have all the sequences in the same pool." From there, he explains, a program can go back and use the same logic to find the mutant DNA.
In the future, sequencing and analysis that would have taken months and $10 million could require just a few days of machine time and $50,000 to $80,000, the study authors note. All thanks to ancient Chinese number logic and a popular pen-and-paper puzzle game—which Erlich now plays regularly.



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7 Comments
Add CommentChinese Remainder Theorem [Britannica]: ancient theorem that gives the conditions necessary for multiple equations to have a simultaneous integer solution. [...] It addresses the following type of problem. One is asked to find a number that leaves a remainder of 0 when divided by 5, remainder 6 when divided by 7, and remainder 10 when divided by 12. The simplest solution is 370. Note that this solution is not unique, since any multiple of 5 (= 420) can be added to it and the result will still solve the problem.
Reply | Report Abuse | Link to thisDoes the Chinese Remainder Theorem become case-sensitive in neurological conformity?
Reply | Report Abuse | Link to thisInteresting article. BTW, thanks for using my picture.
Reply | Report Abuse | Link to thisHere is an easier solution..use the idle time on your computer (Windows, Mac, or Linux) to cure diseases, study global warming, discover pulsars, and do many other types of scientific research. It's safe, secure, and easy by using BOINC at http://boinc.berkeley.edu/. BOINC ( The Berkeley Open Infrastructure for Network Computing) is a non-commercial middleware system for volunteer and grid computing.
Reply | Report Abuse | Link to thisWhy naturally!
Reply | Report Abuse | Link to thisThe reference/url for "the paper" by Erlich should be:
Reply | Report Abuse | Link to thishttp://genome.cshlp.org/content/19/7/1243
or, better, for downloadble pdf and other links:
http://hannonlab.cshl.edu/dna_sudoku/main.html
Baloni
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