Algorithms for Molecular Biology

期刊简介：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.

【译文】发表关于生物序列和结构分析、系统发育重建、组合算法和机器学习的新算法的文章。感兴趣领域包括但不限于：RNA和蛋白质结构分析算法、基因预测和基因组分析、比较序列分析和比对、系统发育、基因表达、机器学习和组合算法。如果适当，稿件应描述应用于实际数据的实例。然而，如果预期未来应用于生物数据，或者它们解决了分子生物学中新颖计算问题的复杂度或近似问题，纯算法论文也是受欢迎的。如果包含一些算法上有趣的方面，关于新颖软件工具的文章也将考虑发表。