Aims & Scope
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.
As one of the bepress family of journals, we are also dedicated to changes in the academic publishing process. In particular:
- We will be using an Author & Reviewer's Bank that is intended to improve the timing of reviews and ultimate publication.
- Electronic publication gives most readers access to journal articles at their desktops
- No copyediting is required since the author acts as their own typesetter. After peer review, what you write is exactly what readers will see.
- Reviewers who write especially insightful reviews will be invited by editors to publish the remarks as comments.
- Reviewers can send questions to authors by anonymous e-mail, so that reviewers are less likely to misunderstand authors.