a quick guide to organizing computational biology projects快速计算生物学组织项目指南.pdfVIP

Education A Quick Guide to Organizing Computational Biology Projects William Stafford Noble1,2* 1 Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, United States of America, 2 Department of Computer Science and Engineering, University of Washington, Seattle, Washington, United States of America Introduction understanding your work or who may be under a common root directory. The evaluating your research skills. Most com- exception to this rule is source code or Most bioinformatics coursework focus- monly, however, that ‘‘someone’’ is you. A scripts that are used in multiple projects. es on algorithms, with perhaps some few months from now, you may not Each such program might have a project components devoted to learning pro- remember what you were up to when you directory of its own. gramming skills and learning how to created a particular set of files, or you may Within a given project, I use a top-level use existing bioinformatics software. Un- not remember what conclusions you drew. organization that is logical, with chrono- fortunately, for students who are prepar- You will either have to then spend time logical organization at the next level, and ing for a research career, this type of reconstructing your previous experiments logical organization below that. A sample curriculum fails to address many of the or lose whatever insights you gained from project, called msms, is shown in Figure 1. day-to-day organizational challenges as- those experiments.