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Bioinformatics
Article . 2001 . Peer-reviewed
Data sources: Crossref
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Bioinformatics
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Bioinformatics
Article . 2001
Data sources: Europe PubMed Central
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Virtual PCR

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2001 English Publisher:Oxford University Press (OUP)Journal:Bioinformatics, volume 17, pages 192-193 (issn: 1367-4803, eissn: 1367-4811, Copyright policy )
Authors: Matej Lexa; J. Horak; Bretislav Brzobohaty;

doi: 10.1093/bioinformatics/17.2.192

pmid: 11238077

Abstract

Abstract Summary: We present an algorithm that uses public sequence data to predict PCR products. The algorithm is implemented as a CGI script. Output is compared to real-world PCR. Availability: Perl code and instructions for installation are freely available over the internet at http://www.sci.muni.cz/LMFR/vpcr.html Contact: m-lexa@sci.muni.cz * To whom correspondence should be addressed.

Related Organizations
Keywords

Databases, Factual, Polymerase Chain Reaction, Algorithms, Software, DNA Primers

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    selected citations
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    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).
    		 38
    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%
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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!
38
Top 10%
Top 10%
Top 10%
gold