DocumentCode :
1426759
Title :
Compressed Genotyping
Author :
Erlich, Yaniv ; Gordon, Assaf ; Brand, Michael ; Hannon, Gregory J. ; Mitra, Partha P.
Author_Institution :
Watson Sch. of Biol. Sci., Cold Spring Harbor Lab., Cold Spring Harbor, TX, USA
Volume :
56
Issue :
2
fYear :
2010
Firstpage :
706
Lastpage :
723
Abstract :
Over the past three decades we have steadily increased our knowledge on the genetic basis of many severe disorders. Nevertheless, there are still great challenges in applying this knowledge routinely in the clinic, mainly due to the relatively tedious and expensive process of genotyping. Since the genetic variations that underlie the disorders are relatively rare in the population, they can be thought of as a sparse signal. Using methods and ideas from compressed sensing and group testing, we have developed a cost-effective genotyping protocol to detect carriers for severe genetic disorders. In particular, we have adapted our scheme to a recently developed class of high throughput DNA sequencing technologies. The mathematical framework presented here has some important distinctions from the ¿traditional¿ compressed sensing and group testing frameworks in order to address biological and technical constraints of our setting.
Keywords :
DNA; biological techniques; genetics; genomics; DNA sequencing; compressed genotyping; compressed sensing; genetic disorders; group testing; Bioinformatics; Compressed sensing; DNA; Genetics; Genomics; Humans; Large-scale systems; Protocols; Testing; Throughput; Compressed sensing; DNA; genotyping; group testing;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2009.2037043
Filename :
5420273
Link To Document :
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