Compressed Genotyping

Erlich, Yaniv, Gordon, Assaf, Brand, Michael, Hannon, Gregory J, Mitra, Partha P (September 2009) Compressed Genotyping. IEEE Transactions on Information Theory. (Submitted)

[thumbnail of 0909.3691v1.pdf] PDF
0909.3691v1.pdf - Submitted Version
Available under License Creative Commons Attribution.

Download (1MB)

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.

Item Type: Paper
Subjects: Investigative techniques and equipment > assays > next generation sequencing
CSHL Authors:
Communities: CSHL labs > Mitra lab
School of Biological Sciences > Publications
SWORD Depositor: CSHL Elements
Depositing User: CSHL Elements
Date: 21 September 2009
Date Deposited: 11 Oct 2023 15:10
Last Modified: 01 Mar 2024 16:18
PMCID: PMC3065185
Related URLs:
URI: https://repository.cshl.edu/id/eprint/41178

Actions (login required)

Administrator's edit/view item Administrator's edit/view item
CSHL HomeAbout CSHLResearchEducationNews & FeaturesCampus & Public EventsCareersGiving