ArticleIEEE transactions on information theory2010
Compressed Genotyping.
Article in IEEE transactions on information theory, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Group testing via hypergraph factorization applied to COVID-19.Nature communications · 2022Article
- COVID-19 Pandemic: Group Testing.Frontiers in medicine · 2020Article
- An accurate clone-based haplotyping method by overlapping pool sequencing.Nucleic acids research · 2016Article
- iPipet: sample handling using a tablet.Nature methods · 2014Article
- Ensemble analysis of adaptive compressed genome sequencing strategies.BMC bioinformatics · 2014Article
- Distilled single-cell genome sequencing and de novo assembly for sparse microbial communities.Bioinformatics (Oxford, England) · 2013Article
- Combinatorial pooling enables selective sequencing of the barley gene space.PLoS computational biology · 2013Article
- Weighted pooling--practical and cost-effective techniques for pooled high-throughput sequencing.Bioinformatics (Oxford, England) · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.