Algorithms for Molecular Biology

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, ge...

詳細記述

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書誌詳細
団体著者: SpringerLink (Online service)
その他の著者: Stadler, Peter (編集者), Morgenstern, Burkhard (編集者)
フォーマット: 電子媒体 雑誌
出版事項: London : BioMed Central : Imprint: BioMed Central.
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オンライン・アクセス:Open Access
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その他の書誌記述
要約: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.
物理的記述:online resource.
ISSN:1748-7188