統計應用在遺傳學和分子生物學中尋求發表重要的研究，應用統計思想解決計算生物學中出現的問題。這些文件的重點應放在有關的統計問題上，但應包括對正在審議的有關生物問題的簡明描述。主題范圍廣泛，將包括連鎖圖譜、關聯研究、基因發現和序列比對、蛋白質結構預測、微陣列數據的設計和分析、分子進化和系統發育樹、DNA拓撲結構和數據庫搜索策略等主題。原創研究和評論文章將受到熱烈歡迎。

Statistical Applications in Genetics and Molecular Biology seeks to publish significant research on the application of statistical ideas to problems arising from computational biology. The focus of the papers should be on the relevant statistical issues but should contain a succinct description of the relevant biological problem being considered. The range of topics is wide and will include topics such as linkage mapping, association studies, gene finding and sequence alignment, protein structure prediction, design and analysis of microarray data, molecular evolution and phylogenetic trees, DNA topology, and data base search strategies. Both original research and review articles will be warmly received.