Statistical Applications in Genetics and Molecular Biology

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官方网站：http://www.degruyter.com/view/j/sagmb

投稿网址：https://mc.manuscriptcentral.com/dgsagmb

PMC链接：http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2194-6302%5BISSN%5D

统计应用在遗传学和分子生物学中寻求发表重要的研究，应用统计思想解决计算生物学中出现的问题。这些文件的重点应放在有关的统计问题上，但应包括对正在审议的有关生物问题的简明描述。主题范围广泛，将包括连锁图谱、关联研究、基因发现和序列比对、蛋白质结构预测、微阵列数据的设计和分析、分子进化和系统发育树、DNA拓扑结构和数据库搜索策略等主题。原创研究和评论文章将受到热烈欢迎。

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.