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Bioinformatics
Article . 1999 . Peer-reviewed
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Bioinformatics
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Bioinformatics
Article . 1999
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Article . 1999
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https://dx.doi.org/10.1093/bio...
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https://dx.doi.org/10.1093/bio...
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The Biopolymer Markup Language.

descriptionPublicationkeyboard_double_arrow_right Article 01 Apr 1999 English Publisher:Oxford University Press (OUP)Journal:Bioinformatics, volume 15, pages 339-340 (issn: 1367-4803, eissn: 1367-4811, Copyright policy )
Authors: David Fenyö;

doi: 10.1093/bioinformatics/15.4.339

pmid: 10320402

The Biopolymer Markup Language.

Abstract

Abstract SUMMARY: An XML derived from a data model designed to be a hierarchical representation of an organism has been specified and a browser to use this language has been developed. AVAILABILITY: The language definition is available in HTML form at http://www.proteometrics.com/BIOML/. The BioML browser is available on request from the author.

Keywords

Models, Molecular, Biopolymers, Computer Simulation, Programming Languages

  • 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).
    		 34
    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 1%
    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 1%
    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!
34
Top 1%
Top 1%
Top 10%
gold