Title

Statistical Applications in Genetics and Molecular Biology

Medilib Journal is a reliable source of researches and researches in the field of medicine. The philosophy of journals is to preserve scientific materials and register them in the name of the author and prevent plagiarism.

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.