算法生物信息學(xué)研究及其在真實(shí)世界數(shù)據(jù)中的應(yīng)用，分子生物學(xué)算法包括關(guān)于生物序列和結(jié)構(gòu)分析、系統(tǒng)發(fā)育重建、組合算法和機(jī)器學(xué)習(xí)的新算法的文章。《開放獲取》雜志擁有一個(gè)專業(yè)的國際編輯委員會(huì)，提供快速和嚴(yán)格的同行評(píng)審，同時(shí)歡迎純算法論文和關(guān)于新工具的軟件文章，這些工具有望在未來應(yīng)用于生物數(shù)據(jù)，或在分子生物學(xué)領(lǐng)域解決獨(dú)特的計(jì)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.