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Genetics
Article . 2010 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Genetics
Article
Data sources: UnpayWall
Genetics
Article . 2011
Data sources: Europe PubMed Central
https://dx.doi.org/10.1534/gen...
Article
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To Pool, or Not to Pool?

descriptionPublicationkeyboard_double_arrow_right Article 01 Sep 2010 English Publisher:Oxford University Press (OUP)Journal:Genetics, volume 186, pages 41-43 (eissn: 1943-2631, Copyright policy )
Authors: David J, Cutler; Jeffrey D, Jensen;

doi: 10.1534/genetics.110.121012

pmid: 20855575

pmc: PMC2940305

To Pool, or Not to Pool?

Abstract

IN this issue of Genetics, [Futschik and Schlotterer (2010)][1] present one of the first and the most systematic explorations of the relative merits of pooling vs. individual sequencing for several genetics applications. They argue that pooling individuals is often more effective both for SNP

Related Organizations
Keywords

Sample Size, Animals, Humans, Sequence Analysis, DNA, Polymorphism, Single Nucleotide

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 86
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
86
Top 10%
Top 10%
Top 10%
hybrid