Algorithms For Molecular Biology

Journal Title：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, 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.

《分子生物学算法》发表有关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。

感兴趣的领域包括但不限于：RNA 和蛋白质结构分析算法、基因预测和基因组分析算法、比较序列分析和比对算法、系统发育算法、基因表达算法、机器学习算法和组合算法。

在适当的情况下，稿件应描述对现实世界数据的应用。但是，如果纯算法论文有望在未来应用于生物数据，或者解决分子生物学中新计算问题的复杂性或近似问题，我们也欢迎这些论文。如果有关新软件工具的文章包含一些算法上有趣的方面，我们将考虑发表。

Algorithms For Molecular Biology创刊于2006年，由BioMed Central出版商出版，收稿方向涵盖生物 - 生化研究方法全领域，此期刊水平偏中等偏靠后，在所属细分领域中专业影响力一般，过审相对较易，如果您文章质量佳，选择此期刊，发表机率较高。平均审稿速度 12周，或约稿 ，影响因子指数1.5，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。