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Life Sciences - Systems Biology and Bioinformatics | Algorithms for Molecular Biology

Algorithms for Molecular Biology
BioMed Central

Algorithms for Molecular Biology

Editors-in-Chief: B. Morgenstern; P.F. Stadler

ISSN: 1748-7188 (electronic version)

Journal no. 13015

BioMed Central

Open access BioMed Central
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  • A leading Open Access journal in the field
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Algorithms for Molecular Biology publishes articles on novel algorithms for biological sequence and structure analysis, phylogeny reconstruction, and combinatorial algorithms and machine learning. Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, machine learning, and combinatorial algorithms.

Related subjects » Bioinformatics - Computational Science & Engineering - Systems Biology and Bioinformatics

Impact Factor: 1.857 (2013) * 

Journal Citation Reports®, Thomson Reuters

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PubMed, PubMedCentral, SCOPUS, INSPEC, EMBASE, Chemical Abstracts Service (CAS), Google Scholar, EBSCO, CSA, Academic OneFile, Academic Search, ACM, BIOSIS, CSA Environmental Sciences, OCLC, SCImago, Summon by ProQuest, Thomson Reuters (ISI)

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  • Journal Citation Reports®, Thomson Reuters
    2013 Impact Factor
  • 1.857
  • Aims and Scope

    Aims and Scope

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    Algorithms for Molecular Biology publishes articles on novel algorithms for biological sequence and structure analysis, phylogeny reconstruction, and combinatorial algorithms and machine learning.

    Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, machine learning, and combinatorial algorithms.

    Where appropriate, manuscripts should describe applications to real-world data. However, pure algorithm papers are also welcome if future applications to biological data are to be expected, or if they address complexity or approximation issues of novel computational problems in molecular biology. Articles about novel software tools will be considered for publication if they contain some algorithmically interesting aspects.

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