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Statistical Applications in Genetics and Molecular BiologyAims and Scope Objective 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. This journal is one of the high-quality journals that I use, and that my students use as well. Information on submission process.
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Statistical Applications in Genetics and Molecular Biology
Marinelli has had a distinguished career teaching Spanish at the University of South Carolina. She has extensive experience coordinating the introductory Spanish program and mentoring graduate teaching assistants at the university. Marinelli has authored two other Spanish textbooks, including the best-selling high beginner textbook Puentes. Karin Fajardo, Karin Fajardo is an educational publishing professional who has authored language learning materials for more than a dozen Spanish textbooks across all levels. As a native Spanish speaker who has lived in and traveled extensively throughout Spain and Latin America, her primary focus has been to generate culturally rich interdisciplinary language lessons. Fajardo also is a pioneer in the creation of online products and the development of authentic video for instructional purposes. Her current writing interests focus on self-directed learning.
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