Algorithms for Molecular Biology

算法生物信息学研究及其在真实世界数据中的应用，分子生物学算法包括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。《开放获取》杂志拥有一个专业的国际编辑委员会，提供快速和严格的同行评审，同时欢迎纯算法论文和关于新工具的软件文章，这些工具有望在未来应用于生物数据，或在分子生物学领域解决独特的计算问题。

The home of algorithmic bioinformatics research and its application to real-world data, Algorithms for Molecular Biology encompasses articles about novel algorithms for biological sequence and structure analysis, phylogeny reconstruction, combinatorial algorithms, and machine learning. With an expert international Editorial Board providing fast and rigorous peer review, the open access journal also welcomes pure algorithm papers and software articles about novel tools, where future applications to biological data are to be expected, or where they address unique computational problems in the world of molecular biology.