算法生物信息學研究及其在真實世界數據中的應用,分子生物學算法包括關于生物序列和結構分析、系統發育重建、組合算法和機器學習的新算法的文章。《開放獲取》雜志擁有一個專業的國際編輯委員會,提供快速和嚴格的同行評審,同時歡迎純算法論文和關于新工具的軟件文章,這些工具有望在未來應用于生物數據,或在分子生物學領域解決獨特的計算問題。
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.
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